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Volumn , Issue , 2013, Pages

Entropy Theory and its Application in Environmental and Water Engineering

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EID: 84891584099     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118428306     Document Type: Book
Times cited : (167)

References (353)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • B.N. Petrov and F. Csaki, eds., Publishing House of the Hungarian Academy of Sciences, Budapest, Hungary
    • Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. Proceedings 2nd International Symposium on Information Theory, B.N. Petrov and F. Csaki, eds., Publishing House of the Hungarian Academy of Sciences, Budapest, Hungary.
    • (1973) Proceedings 2nd International Symposium on Information Theory
    • Akaike, H.1
  • 2
    • 77958567926 scopus 로고    scopus 로고
    • Space, scale, and scaling in entropy maximizing
    • Batty, M. (2010). Space, scale, and scaling in entropy maximizing. Geographical Analysis, Vol. 42, pp. 395-421.
    • (2010) Geographical Analysis , vol.42 , pp. 395-421
    • Batty, M.1
  • 3
    • 0003452836 scopus 로고
    • Science and Information Theory
    • New York
    • Brillouin, L. (1956). Science and Information Theory. Academic Press, New York.
    • (1956) Academic Press
    • Brillouin, L.1
  • 4
    • 0347753733 scopus 로고
    • Note on entropy, disorder and disorganization
    • Denbigh, K.G. (1989). Note on entropy, disorder and disorganization. British Journal of Philosophical Science, Vol. 40, pp. 323-32.
    • (1989) British Journal of Philosophical Science , vol.40 , pp. 323-332
    • Denbigh, K.G.1
  • 5
    • 84886989908 scopus 로고
    • Entropy: The Significance of the Concept of Entropy and its Application in Science and Technology
    • Science Publishers Inc., New York
    • Fast, J.D. (1968). Entropy: The Significance of the Concept of Entropy and its Application in Science and Technology. Gordon and Breach, Science Publishers Inc., New York.
    • (1968) Gordon and Breach
    • Fast, J.D.1
  • 7
    • 0003638978 scopus 로고
    • Some misconceptions about entropy
    • edited by B. Buck and V.A. McCauley, Oxford Science Publishers
    • Gull, S.F. (1991). Some misconceptions about entropy. Chapter 7 in: Maximum Entropy in Action, edited by B. Buck and V.A. McCauley, Oxford Science Publishers, pp. 171-86.
    • (1991) Chapter 7 in: Maximum Entropy in Action , pp. 171-186
    • Gull, S.F.1
  • 9
    • 0019540987 scopus 로고
    • On the quantitative definition of risk
    • Kaplan, S. and Garrick, B.J. (1981). On the quantitative definition of risk. Risk Analysis, Vol. 1, No. 1, pp. 11-27.
    • (1981) Risk Analysis , vol.1 , Issue.1 , pp. 11-27
    • Kaplan, S.1    Garrick, B.J.2
  • 11
    • 84992631062 scopus 로고    scopus 로고
    • Uncertainty and Information: Foundations of Generalized Information Theory
    • New York
    • Klir, G. J. (2006). Uncertainty and Information: Foundations of Generalized Information Theory. John Wiley & Sons, New York.
    • (2006) John Wiley & Sons
    • Klir, G.J.1
  • 12
    • 0040712440 scopus 로고
    • The theory of selective information and source of its behavioral applications
    • edited by R.D. Luce, The Free Press, Glencoe
    • Luce, R.D., (1960). The theory of selective information and source of its behavioral applications. In: Developments in Mathematical Psychology, edited by R.D. Luce, The Free Press, Glencoe.
    • (1960) Developments in Mathematical Psychology
    • Luce, R.D.1
  • 13
    • 84977433493 scopus 로고
    • Information theory and geography
    • Marchand, B., (1972). Information theory and geography. Geographical Analysis, Vol. 4, pp. 234-57.
    • (1972) Geographical Analysis , vol.4 , pp. 234-257
    • Marchand, B.1
  • 15
    • 12844268771 scopus 로고    scopus 로고
    • Information and system modeling
    • Ng, S.K. (1996). Information and system modeling. Mathematical and Computer Modeling, Vol. 23, No. 5, pp. 1-15.
    • (1996) Mathematical and Computer Modeling , vol.23 , Issue.5 , pp. 1-15
    • Ng, S.K.1
  • 18
    • 38249008135 scopus 로고
    • Some properties of the exponential entropy
    • Pal, N.R. and Pal, S.K. (1992). Some properties of the exponential entropy. Informational Sciences, Vol. 66, pp. 119-37.
    • (1992) Informational Sciences , vol.66 , pp. 119-137
    • Pal, N.R.1    Pal, S.K.2
  • 20
    • 84864356737 scopus 로고    scopus 로고
    • Entropy based derivation of probability distributions: A case study to daily rainfall
    • Papalexiou, S.M. and Koutsoyiannis, D. (2012). Entropy based derivation of probability distributions: A case study to daily rainfall. Advances in Water Resources, Vol. 45, pp. 51-57.
    • (2012) Advances in Water Resources , vol.45 , pp. 51-57
    • Papalexiou, S.M.1    Koutsoyiannis, D.2
  • 21
    • 33244462377 scopus 로고
    • What is entropy?
    • Prigogine, I. (1989). What is entropy?. Naturwissenschaften, Vol. 76, pp. 1-8.
    • (1989) Naturwissenschaften , vol.76 , pp. 1-8
    • Prigogine, I.1
  • 23
    • 0024079299 scopus 로고
    • On the epsilon entropy of mixed random variables
    • Rosenthal, H. and Binia, J. (1988). On the epsilon entropy of mixed random variables. IEEE Transactions on Information Theory, Vol. 34, No. 5, pp. 1110-14.
    • (1988) IEEE Transactions on Information Theory , vol.34 , Issue.5 , pp. 1110-1114
    • Rosenthal, H.1    Binia, J.2
  • 24
    • 84940644968 scopus 로고
    • A mathematical theory of communications, I and II
    • Shannon, C.E. (1948). A mathematical theory of communications, I and II. Bell System Technical Journal, Vol. 27, pp. 379-443.
    • (1948) Bell System Technical Journal , vol.27 , pp. 379-443
    • Shannon, C.E.1
  • 27
    • 33646516485 scopus 로고
    • Possible generalization of Boltzmann-Gibbs statistics
    • Tsallis, C. (1988). Possible generalization of Boltzmann-Gibbs statistics. Journal of Statistical Physics, Vol. 52, No. 1/2, pp. 479-87.
    • (1988) Journal of Statistical Physics , vol.52 , Issue.1-2 , pp. 479-487
    • Tsallis, C.1
  • 28
    • 84949375039 scopus 로고
    • Rational Description: Decision and Designs
    • New York
    • Tribus, M. (1969). Rational Description: Decision and Designs. Pergamon Press, New York.
    • (1969) Pergamon Press
    • Tribus, M.1
  • 29
    • 84886963203 scopus 로고
    • Knowing and Guessing: A Quantitative Study of Inference and Information
    • New York
    • Watanabe, S. (1969). Knowing and Guessing: A Quantitative Study of Inference and Information. John Wiley & Sons, New York.
    • (1969) John Wiley & Sons
    • Watanabe, S.1
  • 30
    • 0001327705 scopus 로고
    • Algorithmic randomness and physical entropy
    • Zurek, W.H., 1989. Algorithmic randomness and physical entropy. Physical Review A, Vol. 40, No. 8, pp. 4731-51.
    • (1989) Physical Review A , vol.40 , Issue.8 , pp. 4731-4751
    • Zurek, W.H.1
  • 31
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, Vol. AC-19, No. 6, pp. 710-23.
    • (1974) IEEE Transactions on Automatic Control , vol.AC-19 , Issue.6 , pp. 710-723
    • Akaike, H.1
  • 32
    • 0002468753 scopus 로고
    • Prediction and entropy
    • edited by A.C. Atkinson and S.E. Fienberg, Springer-Verlag, Heidelberg, Germany
    • Akaike, H. (1985). Prediction and entropy. Chapter 1 in: A Celebration of Statistics, edited by A.C. Atkinson and S.E. Fienberg, pp. 1-24, Springer-Verlag, Heidelberg, Germany.
    • (1985) Chapter 1 in: A Celebration of Statistics , pp. 1-24
    • Akaike, H.1
  • 38
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics, I
    • Jaynes, E.T. (1957). Information theory and statistical mechanics, I. Physical Review, Vol. 106, pp. 620-30.
    • (1957) Physical Review , vol.106 , pp. 620-630
    • Jaynes, E.T.1
  • 39
    • 0020187981 scopus 로고
    • On the rationale of maximum entropy methods
    • Jaynes, E.T. (1982). On the rationale of maximum entropy methods. Proceedings of the IEEE, Vol. 70, pp. 939-52.
    • (1982) Proceedings of the IEEE , vol.70 , pp. 939-952
    • Jaynes, E.T.1
  • 41
    • 0032413683 scopus 로고    scopus 로고
    • Entropy-Based Parameter Estimation in Hydrology
    • Boston, Massachusetts
    • Singh, V.P. (1998). Entropy-Based Parameter Estimation in Hydrology. Kluwer Academic Publishers, Boston, Massachusetts.
    • (1998) Kluwer Academic Publishers
    • Singh, V.P.1
  • 42
    • 0031141905 scopus 로고    scopus 로고
    • The use of entropy in hydrology and water resources
    • Singh, V.P. (1998). The use of entropy in hydrology and water resources. Hydrological Processes, Vol. 11, pp. 587-626.
    • (1998) Hydrological Processes , vol.11 , pp. 587-626
    • Singh, V.P.1
  • 43
    • 84983780235 scopus 로고    scopus 로고
    • Entropy as a decision tool in environmental and water resources
    • Singh, V.P. (1998). Entropy as a decision tool in environmental and water resources. Hydrology Journal, Vol. XXI, No. 1-4, pp. 1-12.
    • (1998) Hydrology Journal , vol.21 , Issue.1-4 , pp. 1-12
    • Singh, V.P.1
  • 44
    • 0033951877 scopus 로고    scopus 로고
    • The entropy theory as tool for modeling and decision making in environmental and water resources
    • Singh, V.P. (2000). The entropy theory as tool for modeling and decision making in environmental and water resources. Water SA, Vol. 26, No. 1, pp. 1-11.
    • (2000) Water SA , vol.26 , Issue.1 , pp. 1-11
    • Singh, V.P.1
  • 45
    • 32444445365 scopus 로고    scopus 로고
    • The entropy theory as a decision making tool in environmental and water resources
    • edited by Karmeshu, Springer-Verlag, Bonn, Germany
    • Singh, V.P. (2003). The entropy theory as a decision making tool in environmental and water resources. In: Entropy Measures, Maximum Entropy and Emerging Applications, edited by Karmeshu, Springer-Verlag, Bonn, Germany, pp. 261-97.
    • (2003) Entropy Measures, Maximum Entropy and Emerging Applications , pp. 261-297
    • Singh, V.P.1
  • 47
    • 79955741624 scopus 로고    scopus 로고
    • Hydrologic synthesis using entropy theory: Review
    • Singh, V.P. (2011). Hydrologic synthesis using entropy theory: Review. Journal of Hydrologic Engineering, Vol. 16, No. 5, pp. 421-33.
    • (2011) Journal of Hydrologic Engineering , vol.16 , Issue.5 , pp. 421-433
    • Singh, V.P.1
  • 49
    • 0013825406 scopus 로고
    • The entropy of a continuous distribution
    • White, H. (1965). The entropy of a continuous distribution. Bulletin of Mathematical Biophysics, Vol. 27, pp. 135-43.
    • (1965) Bulletin of Mathematical Biophysics , vol.27 , pp. 135-143
    • White, H.1
  • 50
    • 0003851731 scopus 로고
    • Handbook of Mathematical Functions
    • New York
    • Abramowitz, M. and Stegun, I.A. (1970). Handbook of Mathematical Functions. Dover, New York.
    • (1970) Dover
    • Abramowitz, M.1    Stegun, I.A.2
  • 51
    • 84944836511 scopus 로고
    • Entropy in the assessment of uncertainty in hydrologic systems and models
    • Amorocho, J. and Espildora, B. (1973). Entropy in the assessment of uncertainty in hydrologic systems and models. Water Resources Research, Vol. 9, No. 6, pp. 1511-22.
    • (1973) Water Resources Research , vol.9 , Issue.6 , pp. 1511-1522
    • Amorocho, J.1    Espildora, B.2
  • 52
    • 0004280469 scopus 로고
    • Information Theory
    • New York
    • Ash, R.B. (1965). Information Theory. Dover, New York.
    • (1965) Dover
    • Ash, R.B.1
  • 53
    • 77958567926 scopus 로고    scopus 로고
    • Space, scale, and scaling in entropy maximizing
    • Batty, M.J. (2010). Space, scale, and scaling in entropy maximizing. Geographical Analysis, Vol. 42, pp. 395-421.
    • (2010) Geographical Analysis , vol.42 , pp. 395-421
    • Batty, M.J.1
  • 54
    • 0004147631 scopus 로고
    • Unpublished Ph.D. thesis, Stanford University, Palo Alto, California
    • Burg, J.P. (1975). Maximum entropy spectral analysis. Unpublished Ph.D. thesis, Stanford University, 123 p., Palo Alto, California.
    • (1975) Maximum entropy spectral analysis , pp. 123
    • Burg, J.P.1
  • 56
    • 84913888044 scopus 로고
    • Equations for entropy in hydrologic time series
    • Faculty of Military Studies, University of New South Wales, Duntroon, N.S.W., Australia
    • Chapman, T.G. (1980). Equations for entropy in hydrologic time series. Department of Civil Engineering, Faculty of Military Studies, University of New South Wales, Duntroon, N.S.W., Australia.
    • (1980) Department of Civil Engineering
    • Chapman, T.G.1
  • 57
    • 0022923309 scopus 로고
    • Entropy as a measure of hydrological data uncertainty and model performance
    • Chapman, T.G. (1986). Entropy as a measure of hydrological data uncertainty and model performance. Journal of Hydrology, Vol. 85, pp. 111-26.
    • (1986) Journal of Hydrology , vol.85 , pp. 111-126
    • Chapman, T.G.1
  • 58
    • 0024704122 scopus 로고
    • Simple proof of the concavity of the entropy power with respect to added Gaussian noise
    • Dembo, A. (1989). Simple proof of the concavity of the entropy power with respect to added Gaussian noise. IEEE Transactions on Information Theory, Vol. 35, No. 4, pp. 887-8.
    • (1989) IEEE Transactions on Information Theory , vol.35 , Issue.4 , pp. 887-888
    • Dembo, A.1
  • 59
  • 61
    • 0028273691 scopus 로고
    • Relations between entropy and error probability
    • Feder, M. and Merhav, N. (1994). Relations between entropy and error probability. IEEE Transactions on Information Theory, Vol. 40, No. 1, pp. 259-66.
    • (1994) IEEE Transactions on Information Theory , vol.40 , Issue.1 , pp. 259-266
    • Feder, M.1    Merhav, N.2
  • 64
    • 0000083725 scopus 로고
    • The amount of information in absolute judgments
    • Garner, W.R. and Hake, H.W. (1951). The amount of information in absolute judgments, Psychology Review, Vol. 58, pp. 446-59.
    • (1951) Psychology Review , vol.58 , pp. 446-459
    • Garner, W.R.1    Hake, H.W.2
  • 66
    • 0004651508 scopus 로고    scopus 로고
    • Entropy in environmental and water resources
    • R. W. Hershey and R. W. Fairbridge, eds., Kluwer Academic Publishers, Boston, Massachusetts
    • Harmancioglu, N.B. and Singh, V.P. (1998). Entropy in environmental and water resources. Encyclopedia of Hydrology and Water Resources, R. W. Hershey and R. W. Fairbridge, eds., 225-41, Kluwer Academic Publishers, Boston, Massachusetts.
    • (1998) Encyclopedia of Hydrology and Water Resources , pp. 225-241
    • Harmancioglu, N.B.1    Singh, V.P.2
  • 67
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics
    • Jaynes, E.T. (1957). Information theory and statistical mechanics, I. Physical Review, 106, 620-30.
    • (1957) I. Physical Review , vol.106 , pp. 620-630
    • Jaynes, E.T.1
  • 70
    • 0020187981 scopus 로고
    • On the rationale of maximum entropy methods
    • Jaynes, E.T. (1982). On the rationale of maximum entropy methods. Proceedings of the IEEE, Vol. 70, 939-52.
    • (1982) Proceedings of the IEEE , vol.70 , pp. 939-952
    • Jaynes, E.T.1
  • 71
    • 0021376918 scopus 로고
    • Which is the better entropy expression for speech processing:-SlogS or LogS?
    • Johnson, R.W. and Shore, J.E. (1984). Which is the better entropy expression for speech processing:-SlogS or LogS?. IEEE Transactions on Acoustics, Speech, and Signal Proecssing, Vol. ASSP-32, No. 1, pp. 129-37.
    • (1984) IEEE Transactions on Acoustics, Speech, and Signal Proecssing , vol.ASSP-32 , Issue.1 , pp. 129-137
    • Johnson, R.W.1    Shore, J.E.2
  • 72
    • 0003656494 scopus 로고
    • Entropy Maximization Principles with Applications
    • Academic Press, Inc., New York
    • Kapur, J.N. and Kesavan, H.K. (1992). Entropy Maximization Principles with Applications. Academic Press, Inc., New York.
    • (1992)
    • Kapur, J.N.1    Kesavan, H.K.2
  • 73
    • 0004257992 scopus 로고
    • John Wiley & Sons, New York, reprinted in 1968 by Dover
    • Kullback, S. (1959). Information Theory and Statistics. John Wiley & Sons, New York (reprinted in 1968 by Dover).
    • (1959) Information Theory and Statistics
    • Kullback, S.1
  • 75
    • 85031000789 scopus 로고
    • An Introduction to Random Signals and Communication Theory
    • Scanton, Pennsylvania
    • Lathi, B.P. (1969). An Introduction to Random Signals and Communication Theory. International Textbook Company, Scanton, Pennsylvania.
    • (1969) International Textbook Company
    • Lathi, B.P.1
  • 77
    • 0001249987 scopus 로고
    • On a measure of information provided by an experiment
    • Lindley, D.V. (1956). On a measure of information provided by an experiment. The Annals of Mathematical Statistics, Vol. 27, pp. 986-1005.
    • (1956) The Annals of Mathematical Statistics , vol.27 , pp. 986-1005
    • Lindley, D.V.1
  • 78
    • 0037580073 scopus 로고
    • The use of prior probability distributions in statistical inference and decision
    • Lindley, D.V. (1961). The use of prior probability distributions in statistical inference and decision. Proceedings of the Fourth Berkeley Symposium, Vol. 1, pp. 436-8.
    • (1961) Proceedings of the Fourth Berkeley Symposium , vol.1 , pp. 436-438
    • Lindley, D.V.1
  • 79
    • 84977433493 scopus 로고
    • Information theory and geography
    • Marchand, B. (1972). Information theory and geography. Geographical Analysis, Vol. 4, pp. 234-57.
    • (1972) Geographical Analysis , vol.4 , pp. 234-257
    • Marchand, B.1
  • 81
    • 0002801737 scopus 로고
    • Multivariate information transmission
    • McGill, W.J. (1954). Multivariate information transmission. Psychometrica, Vol. 19, No. 2, pp. 97-116.
    • (1954) Psychometrica , vol.19 , Issue.2 , pp. 97-116
    • McGill, W.J.1
  • 82
    • 0002421111 scopus 로고
    • What is information measurement?
    • Miller, G.A. (1953). What is information measurement?. American Psychologist, Vol. 8, pp. 3-11.
    • (1953) American Psychologist , vol.8 , pp. 3-11
    • Miller, G.A.1
  • 83
    • 0001401411 scopus 로고
    • Statistical inference with bivariate gamma distributions
    • Moran, P.A.P. (1969). Statistical inference with bivariate gamma distributions. Biometrika, Vol. 56, No. 3, pp. 627-34.
    • (1969) Biometrika , vol.56 , Issue.3 , pp. 627-634
    • Moran, P.A.P.1
  • 84
    • 0342679302 scopus 로고
    • On the functional relationship between entropy and variance with related applications
    • Mukherjee, D. and Ratnaparkhi, M.V. (1986). On the functional relationship between entropy and variance with related applications. Communication in Statistics-Theory and Methods, Vol. 15, No. 1, pp. 291-311.
    • (1986) Communication in Statistics-Theory and Methods , vol.15 , Issue.1 , pp. 291-311
    • Mukherjee, D.1    Ratnaparkhi, M.V.2
  • 85
    • 33747340673 scopus 로고
    • Random Variables and Stochastic Processes, 3rd edition, McGraw Hill, New York
    • Papoulis, A. (1991). Probability, Random Variables and Stochastic Processes, 3rd edition, McGraw Hill, New York.
    • (1991) Probability
    • Papoulis, A.1
  • 87
    • 84940644968 scopus 로고
    • A mathematical theory of communications, I and II
    • Shannon, C.E. (1948). A mathematical theory of communications, I and II. Bell System Technical Journal, Vol. 27, pp. 379-443.
    • (1948) Bell System Technical Journal , vol.27 , pp. 379-443
    • Shannon, C.E.1
  • 89
    • 84950959794 scopus 로고
    • Capturing the intangible concept of information
    • Soofi, E. (1994). Capturing the intangible concept of information. Journal of the American Statistical Association, Vol. 89, No. 428, pp. 1243-54.
    • (1994) Journal of the American Statistical Association , vol.89 , Issue.428 , pp. 1243-1254
    • Soofi, E.1
  • 91
    • 0002463895 scopus 로고
    • On self-organizing systems and their environments
    • edited by C. Yovits and C. Cameron, Pergamon Press, Oxford
    • Von Foerster, H. (1960). On self-organizing systems and their environments. In: Self-Organizing Systems, edited by C. Yovits and C. Cameron, Pergamon Press, Oxford, pp. 31-50.
    • (1960) Self-Organizing Systems , pp. 31-50
    • Von Foerster, H.1
  • 92
    • 0013825406 scopus 로고
    • The entropy of a continuous distribution
    • White, H. (1965). The entropy of a continuous distribution. Bulletin of Mathematical Biophysics, Vol. 27, pp. 135-43.
    • (1965) Bulletin of Mathematical Biophysics , vol.27 , pp. 135-143
    • White, H.1
  • 93
    • 0003650335 scopus 로고
    • Entropy in Urban and Regional Modeling
    • London, England
    • Wilson, A.G. (1970). Entropy in Urban and Regional Modeling. Pion, London, England.
    • (1970) Pion
    • Wilson, A.G.1
  • 94
    • 0027659563 scopus 로고
    • A generalization of the entropy power inequality with applications
    • Zamir, R. and Feder, M. (1993). A generalization of the entropy power inequality with applications. IEEE Transactions on Information Theory, Vol. 39, No. 5, pp. 1723-8.
    • (1993) IEEE Transactions on Information Theory , vol.39 , Issue.5 , pp. 1723-1728
    • Zamir, R.1    Feder, M.2
  • 95
    • 0001479726 scopus 로고
    • An algorithm for finding the distribution of maximal entropy
    • Agmon, N., Alhassid, Y. and Levine, R.D. (1979). An algorithm for finding the distribution of maximal entropy. Journal of Computational Physics, Vol. 30, No. 2, pp. 250-9.
    • (1979) Journal of Computational Physics , vol.30 , Issue.2 , pp. 250-259
    • Agmon, N.1    Alhassid, Y.2    Levine, R.D.3
  • 96
    • 0014550999 scopus 로고
    • The principle of minimum information
    • Evans, R.A. (1969). The principle of minimum information. IEEE Transactions on Reliability, Vol. R-18, No. 3, pp. 87-90.
    • (1969) IEEE Transactions on Reliability , vol.R-18 , Issue.3 , pp. 87-90
    • Evans, R.A.1
  • 97
    • 0022807153 scopus 로고
    • Maximum entropy as a special case on the minimum description length criterion
    • Feder, M. (1986). Maximum entropy as a special case on the minimum description length criterion. IEEE Transactions on Information Theory, Vol. IT-32, No. 6, pp. 847-9.
    • (1986) IEEE Transactions on Information Theory , vol.IT-32 , Issue.6 , pp. 847-849
    • Feder, M.1
  • 98
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics, I
    • Jaynes, E.T. (1957a). Information theory and statistical mechanics, I. Physical Reviews, Vol. 106, pp. 620-30.
    • (1957) Physical Reviews , vol.106 , pp. 620-630
    • Jaynes, E.T.1
  • 99
    • 11944275853 scopus 로고
    • Information theory and statistical mechanics, II
    • Jaynes, E.T. (1957b). Information theory and statistical mechanics, II. Physical Reviews, Vol. 108, pp. 171-90.
    • (1957) Physical Reviews , vol.108 , pp. 171-190
    • Jaynes, E.T.1
  • 100
    • 0142143462 scopus 로고
    • Probability Theory in Science and Engineering
    • New York
    • Jaynes, E.T. (1961). Probability Theory in Science and Engineering. McGraw-Hill Book Company, New York.
    • (1961) McGraw-Hill Book Company
    • Jaynes, E.T.1
  • 101
    • 0020187981 scopus 로고
    • On the rationale of maximum entropy methods
    • Jaynes, E.T. (1982). On the rationale of maximum entropy methods. Proceedings of IEEE, Vol. 70, pp. 939-52.
    • (1982) Proceedings of IEEE , vol.70 , pp. 939-952
    • Jaynes, E.T.1
  • 102
    • 0003643764 scopus 로고    scopus 로고
    • Maximum Entropy Models in Science and Engineering
    • New Delhi, India
    • Kapur, J.N. (1989). Maximum Entropy Models in Science and Engineering. Wiley Eastern, New Delhi, India.
    • (1989) Wiley Eastern
    • Kapur, J.N.1
  • 103
    • 0344092446 scopus 로고    scopus 로고
    • Generalized Maximum Entropy Principle (with Applications)
    • University of Waterloo, Waterloo, Canada
    • Kapur, J.N. and Kesavan, H.K. (1987). Generalized Maximum Entropy Principle (with Applications). Sandford Educational Press, University of Waterloo, Waterloo, Canada.
    • (1987) Sandford Educational Press
    • Kapur, J.N.1    Kesavan, H.K.2
  • 106
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J. (1978). Modeling by shortest data description. Automatica, Vol. 14, pp. 465-71.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 107
    • 0001098776 scopus 로고
    • A universal prior for integers and estimation by MDL
    • Rissanen, J. (1983). A universal prior for integers and estimation by MDL. Annals of Statistics, Vol. 11, No. 2, pp. 416-32.
    • (1983) Annals of Statistics , vol.11 , Issue.2 , pp. 416-432
    • Rissanen, J.1
  • 108
    • 0021466584 scopus 로고
    • Universal coding, information, prediction and estimation
    • Rissanen, J. (1984). Universal coding, information, prediction and estimation. IEEE Transactions on Information Theory, Vol. IT-30, No. 4, pp. 629-36.
    • (1984) IEEE Transactions on Information Theory , vol.IT-30 , Issue.4 , pp. 629-636
    • Rissanen, J.1
  • 110
    • 84950959794 scopus 로고
    • Capturing the intangible concept of information
    • Soofi, E. (1994). Capturing the intangible concept of information. Journal the American Statistical Association, Vol. 89, No. 428, pp. 1243-54.
    • (1994) Journal the American Statistical Association , vol.89 , Issue.428 , pp. 1243-1254
    • Soofi, E.1
  • 112
    • 0027455956 scopus 로고
    • An entropy-based morphological analysis of river-basin networks
    • Fiorentino, M., Claps, P. and Singh, V.P. (1993). An entropy-based morphological analysis of river-basin networks. Water Resources Research, Vol. 29, No. 4, pp. 1215-24.
    • (1993) Water Resources Research , vol.29 , Issue.4 , pp. 1215-1224
    • Fiorentino, M.1    Claps, P.2    Singh, V.P.3
  • 113
    • 69549109913 scopus 로고    scopus 로고
    • Entropy-based parameter estimation for extended three parameter Burr III distribution for low-flow frequency analysis
    • Hao, Z. and Singh, V. P. (2009a). Entropy-based parameter estimation for extended three parameter Burr III distribution for low-flow frequency analysis. Transactions of the ASABE, Vol. 52, No. 4, pp. 1-10.
    • (2009) Transactions of the ASABE , vol.52 , Issue.4 , pp. 1-10
    • Hao, Z.1    Singh, V.P.2
  • 114
    • 71149097037 scopus 로고    scopus 로고
    • Entropy-based parameter estimation for extended Burr XII Distribution
    • Hao, Z. and Singh, V.P. (2009b). Entropy-based parameter estimation for extended Burr XII Distribution. Stochastic Environmental Research and Risk Analysis, Vol. 23, pp. 1113-22.
    • (2009) Stochastic Environmental Research and Risk Analysis , vol.23 , pp. 1113-1122
    • Hao, Z.1    Singh, V.P.2
  • 118
    • 71249096782 scopus 로고
    • Technical Report WRR8, Water Resources Program, Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana
    • Krstanovic, P.F. and Singh, V.P. (1988). Application of entropy theory to multivariate hydrologic analysis, Vol. 1, Technical Report WRR8, 269 pp., Water Resources Program, Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana.
    • (1988) Application of entropy theory to multivariate hydrologic analysis , vol.1 , pp. 269
    • Krstanovic, P.F.1    Singh, V.P.2
  • 119
    • 0038027586 scopus 로고
    • A statistical mechanical prediction of the dimensionless unit hydrograph
    • Lienhard, J.H. (1964). A statistical mechanical prediction of the dimensionless unit hydrograph. Journal of Geophysical Research, Vol. 69. No. 24, pp. 5231-8.
    • (1964) Journal of Geophysical Research , vol.69 , Issue.24 , pp. 5231-5238
    • Lienhard, J.H.1
  • 120
    • 0038767315 scopus 로고
    • A physical basis for the generalized gamma distribution
    • Lienhard, J.H. (1966). A physical basis for the generalized gamma distribution. Quarterly of Applied Mathematics, Vol. 25, pp. 330-4.
    • (1966) Quarterly of Applied Mathematics , vol.25 , pp. 330-334
    • Lienhard, J.H.1
  • 121
    • 41749093573 scopus 로고
    • Prediction of the dimensionless unit hydrograph
    • Lienhard, J.H. (1972). Prediction of the dimensionless unit hydrograph. Nordic Hydrology, Vol. 3. pp. 107-9.
    • (1972) Nordic Hydrology , vol.3 , pp. 107-109
    • Lienhard, J.H.1
  • 122
    • 77349127569 scopus 로고    scopus 로고
    • Efficacy of Nakagami-m distribution function for deriving unit hydrograph
    • Rai, R.K., Sarkar, S., Upadhyay, A. and Singh, V.P. (2010). Efficacy of Nakagami-m distribution function for deriving unit hydrograph. Water Resources Management, Vol. 24, pp. 563-75.
    • (2010) Water Resources Management , vol.24 , pp. 563-575
    • Rai, R.K.1    Sarkar, S.2    Upadhyay, A.3    Singh, V.P.4
  • 123
    • 3342927125 scopus 로고    scopus 로고
    • Models for extremes using the extended threeparameter Burr XII system with application to flood frequency analysis
    • Shao, Q.X., Wong, H., Xia, J., Wai-Cheung, I.P. (2004) Models for extremes using the extended threeparameter Burr XII system with application to flood frequency analysis. Hydrologic Sciences Journal, Vol. 49, No. 4, pp. 685-701.
    • (2004) Hydrologic Sciences Journal , vol.49 , Issue.4 , pp. 685-701
    • Shao, Q.X.1    Wong, H.2    Xia, J.3    Wai-Cheung, I.P.4
  • 124
    • 35548983060 scopus 로고    scopus 로고
    • An extension of three-parameter Burr III distribution for low-flow frequency analysis
    • Shao, Q.X., Chen, Y.D. and Zhang, L. (2008). An extension of three-parameter Burr III distribution for low-flow frequency analysis. Comp. Statistics and Data Analysis, Vol. 52, No. 3, pp. 1304-14.
    • (2008) Comp. Statistics and Data Analysis , vol.52 , Issue.3 , pp. 1304-1314
    • Shao, Q.X.1    Chen, Y.D.2    Zhang, L.3
  • 126
    • 0001327484 scopus 로고
    • A class of bivariate distributions including the bivariate logistic
    • Ali M.M., Mikhail, N.N. and Haq, M.S. (1978). A class of bivariate distributions including the bivariate logistic. Journal of Multivariate Analysis, Vol. 8, pp. 405-12.
    • (1978) Journal of Multivariate Analysis , vol.8 , pp. 405-412
    • Ali, M.M.1    Mikhail, N.N.2    Haq, M.S.3
  • 127
    • 0026303073 scopus 로고
    • An adaptive algorithm for the approximate calculation of multiple integrals
    • Berntson, J., Espelid, T.O., and Genz, A. (1991). An adaptive algorithm for the approximate calculation of multiple integrals. ACM Transactions of Mathematical Software, Vol. 17, pp. 437-451.
    • (1991) ACM Transactions of Mathematical Software , vol.17 , pp. 437-451
    • Berntson, J.1    Espelid, T.O.2    Genz, A.3
  • 130
    • 84936112669 scopus 로고
    • Statistical inference procedures for bivariate Archimedean copulas
    • Genest, C. and L.-P. Rivest (1993). Statistical inference procedures for bivariate Archimedean copulas. Journal of the American Statistical Association Vol. 88, No. 423, pp. 1034-43.
    • (1993) Journal of the American Statistical Association , vol.88 , Issue.423 , pp. 1034-1043
    • Genest, C.1    Rivest, L.-P.2
  • 131
    • 33745096550 scopus 로고    scopus 로고
    • Dependence patterns across financial markets: a mixed copula approach
    • Hu, L. (2006). Dependence patterns across financial markets: a mixed copula approach. Applied Financial Economics, Vol. 16, pp. 717-29.
    • (2006) Applied Financial Economics , vol.16 , pp. 717-729
    • Hu, L.1
  • 133
    • 71249096782 scopus 로고
    • Technical Report WRR 8. Water Resources Program, Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana
    • Krstanovic, P.F. and Singh, V.P. (1988). Application of entropy theory to multivariate hydrologic analysis, Vol. 1. Technical Report WRR 8, Water Resources Program, Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana.
    • (1988) Application of entropy theory to multivariate hydrologic analysis , vol.1
    • Krstanovic, P.F.1    Singh, V.P.2
  • 134
    • 71249096782 scopus 로고
    • Technical Report WRR 9. Water Resources Program, Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana
    • Krstanovic, P.F. and Singh, V.P. (1988). Application of entropy theory to multivariate hydrologic analysis, Vol. 2. Technical Report WRR 9, Water Resources Program, Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana.
    • (1988) Application of entropy theory to multivariate hydrologic analysis , vol.2
    • Krstanovic, P.F.1    Singh, V.P.2
  • 135
    • 0004156740 scopus 로고    scopus 로고
    • An Introduction to Copulas
    • New York
    • Nelson, R.B. (1999). An Introduction to Copulas. Springer, New York.
    • (1999) Springer
    • Nelson, R.B.1
  • 138
    • 39749119776 scopus 로고    scopus 로고
    • Goodness-of-fit tests for parametric families of Archimedean copulas
    • Savu, C. and Trede, M. (2008). Goodness-of-fit tests for parametric families of Archimedean copulas. Quantitative Finance, Vol. 8, No. 2, pp. 109-16.
    • (2008) Quantitative Finance , vol.8 , Issue.2 , pp. 109-116
    • Savu, C.1    Trede, M.2
  • 139
    • 0000795592 scopus 로고
    • Fonctions derépartitionàn dimensions et leurs marges
    • Sklar, A. (1959) Fonctions derépartitionàn dimensions et leurs marges. Publ. Inst. Stat. Univ. Paris, Vol. 8, pp. 229-231.
    • (1959) Publ. Inst. Stat. Univ. Paris , vol.8 , pp. 229-231
    • Sklar, A.1
  • 140
    • 77955277285 scopus 로고    scopus 로고
    • Weighted likelihood copula modeling of extreme rainfall events in Connecticut
    • Wang, X., Gebremichael, M., Yan, J. (2010). Weighted likelihood copula modeling of extreme rainfall events in Connecticut. Journal of Hydrology, Vol. 390, No. 1-2, pp. 108-15.
    • (2010) Journal of Hydrology , vol.390 , Issue.1-2 , pp. 108-115
    • Wang, X.1    Gebremichael, M.2    Yan, J.3
  • 143
    • 84915005479 scopus 로고
    • Probability of error, equivocation, and the Chernoff bound
    • Hellman, M.E. and Raviv, J., (1970). Probability of error, equivocation, and the Chernoff bound. IEEE Transactions on Information Theory, Vol. IT-16, No. 4, pp. 368-72.
    • (1970) IEEE Transactions on Information Theory , vol.IT-16 , Issue.4 , pp. 368-372
    • Hellman, M.E.1    Raviv, J.2
  • 144
    • 33751560357 scopus 로고
    • Information Theory and Statistics
    • New York
    • Kullback, S., (1959). Information Theory and Statistics. John Wiley, New York.
    • (1959) John Wiley
    • Kullback, S.1
  • 149
    • 0025952277 scopus 로고
    • Divergence measures based on the Shannon entropy
    • Lin, J. (1991). Divergence measures based on the Shannon entropy. IEEE Transactions on Information Theory, Vol. 37, No. 1, pp. 145-51.
    • (1991) IEEE Transactions on Information Theory , vol.37 , Issue.1 , pp. 145-151
    • Lin, J.1
  • 150
    • 0016428806 scopus 로고
    • Sharper lower bounds for discrimination information in terms of variation
    • Toussaint, G.T. (1975). Sharper lower bounds for discrimination information in terms of variation. IEEE Transactions on Information Theory, Vol. IT-21, No. 1, pp. 99-100.
    • (1975) IEEE Transactions on Information Theory , vol.IT-21 , Issue.1 , pp. 99-100
    • Toussaint, G.T.1
  • 151
    • 0001157377 scopus 로고
    • Note on discrimination information and variation
    • Vajda, I. (1970). Note on discrimination information and variation. IEEE Transactions on Information Theory, Vol. IT-16, pp. 771-6.
    • (1970) IEEE Transactions on Information Theory , vol.IT-16 , pp. 771-776
    • Vajda, I.1
  • 157
    • 0003851731 scopus 로고
    • U.S. Department of Commerce, National Bureau of Standards, Washington, D.C
    • Abramowitz, M. and Stegun, I.S. (1965). Handbook of Mathematical Functions. U.S. Department of Commerce, National Bureau of Standards, Washington, D.C.
    • (1965) Handbook of Mathematical Functions
    • Abramowitz, M.1    Stegun, I.S.2
  • 158
    • 0001479726 scopus 로고
    • An algorithm for finding the distribution of maximal entropy
    • Agmon, N., Alhassid, Y. and Levine, R.D. (1979). An algorithm for finding the distribution of maximal entropy. Journal of Computational Physics, Vol. 30, pp. 250-8.
    • (1979) Journal of Computational Physics , vol.30 , pp. 250-258
    • Agmon, N.1    Alhassid, Y.2    Levine, R.D.3
  • 163
    • 7244247445 scopus 로고
    • Maximum entropy in the problem of moments
    • Mead, L.R. and Papanicolaou, N. (1984). Maximum entropy in the problem of moments. Journal of Mathematical Physics, Vol. 25, No. 8, pp. 2404-17.
    • (1984) Journal of Mathematical Physics , vol.25 , Issue.8 , pp. 2404-2417
    • Mead, L.R.1    Papanicolaou, N.2
  • 164
    • 0031141905 scopus 로고    scopus 로고
    • The use of entropy in hydrology and water resources
    • Singh, V.P. (1997). The use of entropy in hydrology and water resources. Hydrological Processes, Vol. 11, pp. 587-626.
    • (1997) Hydrological Processes , vol.11 , pp. 587-626
    • Singh, V.P.1
  • 166
    • 84983780235 scopus 로고    scopus 로고
    • Entropy as a decision tool in environmental and water resources
    • Singh, V.P. (1998b). Entropy as a decision tool in environmental and water resources. Hydrology Journal, Vol. 21, No. 1-4, pp. 1-12.
    • (1998) Hydrology Journal , vol.21 , Issue.1-4 , pp. 1-12
    • Singh, V.P.1
  • 167
    • 0033951877 scopus 로고    scopus 로고
    • The entropy theory as tool for modeling and decision making in environmental and water resources
    • Singh, V.P. (2000). The entropy theory as tool for modeling and decision making in environmental and water resources. Water SA, Vol. 26, No. 1, pp. 1-11.
    • (2000) Water SA , vol.26 , Issue.1 , pp. 1-11
    • Singh, V.P.1
  • 168
    • 0027087487 scopus 로고
    • A historical perspective of entropy applications in water resources
    • edited by V.P. Singh and M. Fiorentino, Kluwer Academic Publishers, Dordrecht, The Netherlands
    • Singh, V.P. and Fiorentino, M. (1992). A historical perspective of entropy applications in water resources. In: Entropy and Energy Dissipation in Water Resources, edited by V.P. Singh and M. Fiorentino, pp. 21-62, Kluwer Academic Publishers, Dordrecht, The Netherlands.
    • (1992) Entropy and Energy Dissipation in Water Resources , pp. 21-62
    • Singh, V.P.1    Fiorentino, M.2
  • 169
    • 0001669031 scopus 로고
    • A new method of parameter estimation for hydrologic frequency analysis
    • Singh, V.P. and Rajagopal, A.K. (1986). A new method of parameter estimation for hydrologic frequency analysis. Hydrological Science and Technology, Vol. 2, No. 3, pp. 33-40.
    • (1986) Hydrological Science and Technology , vol.2 , Issue.3 , pp. 33-40
    • Singh, V.P.1    Rajagopal, A.K.2
  • 170
    • 0022739206 scopus 로고
    • Derivation of some frequency distributions using the principle of maximum entropy (POME)
    • Singh, V.P., Rajagopal, A. K. and Singh, K. (1986). Derivation of some frequency distributions using the principle of maximum entropy (POME). Advances in Water Resources, Vol. 9, No. 2, pp. 91-106.
    • (1986) Advances in Water Resources , vol.9 , Issue.2 , pp. 91-106
    • Singh, V.P.1    Rajagopal, A.K.2    Singh, K.3
  • 172
    • 0038234347 scopus 로고    scopus 로고
    • Information Dynamics Lab, HP Labs, Palo Alto, California
    • Adamic, L.A. (2002). Zpf, power-laws, and Pareto-ranking tutorial. Information Dynamics Lab, HP Labs, Palo Alto, California. Available at http://www.hpl.hp.com/research/idl/papers/ranking/ranking.html.
    • (2002) Zpf, power-laws, and Pareto-ranking tutorial
    • Adamic, L.A.1
  • 173
    • 84886974225 scopus 로고
    • On general system theory and the concept of entropy in urban geography
    • London School of Economics, Department of Geography, London, U.K
    • Anderson, J. (1969). On general system theory and the concept of entropy in urban geography. Research Paper No. 31, London School of Economics, Department of Geography, London, U.K.
    • (1969) Research Paper No. 31
    • Anderson, J.1
  • 174
    • 23444432577 scopus 로고
    • Entropy, gravity and utility in transportation modeling
    • edited by G. Menges, D. Reidel Publishing Company, Dordrecht, Holland
    • Beckmann, M.J. (1974). Entropy, gravity and utility in transportation modeling. In: Information, Inference and Decision, edited by G. Menges, pp. 155-63, D. Reidel Publishing Company, Dordrecht, Holland.
    • (1974) Information, Inference and Decision , pp. 155-163
    • Beckmann, M.J.1
  • 175
    • 0006301394 scopus 로고
    • Entropy and spatial geometry
    • Batty, M. (1972). Entropy and spatial geometry. Area, Vol. 4(4), pp. 230-6.
    • (1972) Area , vol.4 , Issue.4 , pp. 230-236
    • Batty, M.1
  • 176
    • 84977413376 scopus 로고
    • Spatial entropy
    • Batty, M. (1974). Spatial entropy. Geographical Analysis, Vol. 6, pp. 1-31.
    • (1974) Geographical Analysis , vol.6 , pp. 1-31
    • Batty, M.1
  • 177
    • 84977403449 scopus 로고
    • Entropy in spatial aggregation
    • Batty, M. (1976). Entropy in spatial aggregation. Geographical Analysis, Vol. 8, pp. 1-21.
    • (1976) Geographical Analysis , vol.8 , pp. 1-21
    • Batty, M.1
  • 178
    • 84977336365 scopus 로고
    • Cost, accessibility, and weighted entropy
    • Batty, M. (1983). Cost, accessibility, and weighted entropy. Geographical Analysis, Vol. 15, pp. 256-67.
    • (1983) Geographical Analysis , vol.15 , pp. 256-267
    • Batty, M.1
  • 179
    • 77958567926 scopus 로고    scopus 로고
    • Space, scale, and scaling in entropy maximizing
    • Batty, M. (2010). Space, scale, and scaling in entropy maximizing. Geographical Analysis, Vol. 42, pp. 395-421.
    • (2010) Geographical Analysis , vol.42 , pp. 395-421
    • Batty, M.1
  • 180
    • 0343030365 scopus 로고
    • On searching for the most informative spatial pattern
    • Batty, M. and Sammons, R. (1978). On searching for the most informative spatial pattern. Environment and planning A, Vol. 10, pp. 747-79.
    • (1978) Environment and planning A , vol.10 , pp. 747-779
    • Batty, M.1    Sammons, R.2
  • 181
    • 0018716510 scopus 로고
    • A conjecture on the use of Shannon's formula for measuring spatial information
    • Batty, M. and Sammons, R. (1979). A conjecture on the use of Shannon's formula for measuring spatial information. Geographical Analysis, Vol. 11, No. 3, pp. 304-10.
    • (1979) Geographical Analysis , vol.11 , Issue.3 , pp. 304-310
    • Batty, M.1    Sammons, R.2
  • 182
    • 84932068336 scopus 로고
    • A quantitative-qualitative measure of information in cybernetic systems
    • Belis, M. and Guiasu, S. (1968). A quantitative-qualitative measure of information in cybernetic systems. IEEE Transactions on Information Theory, Vol. 14, pp. 593-4.
    • (1968) IEEE Transactions on Information Theory , vol.14 , pp. 593-594
    • Belis, M.1    Guiasu, S.2
  • 183
    • 0003709686 scopus 로고
    • The application of information theory to the analysis of population distributions in space
    • Chapman, G.P. (1970). The application of information theory to the analysis of population distributions in space. Economic Geography, Supplement, Vol. 46, pp. 317-31.
    • (1970) Economic Geography, Supplement , vol.46 , pp. 317-331
    • Chapman, G.P.1
  • 184
    • 0041185138 scopus 로고
    • The random spatial economy: An exploration in settlement theory
    • Curry, L. (1964). The random spatial economy: An exploration in settlement theory. Annals of the Association of American Geographers, Vol. 54, pp. 138-46.
    • (1964) Annals of the Association of American Geographers , vol.54 , pp. 138-146
    • Curry, L.1
  • 185
    • 84886973913 scopus 로고
    • Application of space-time moving-average forecasting
    • edited by M. Chisholm, A. Frey and P. Haggert, Colston Papers No. 22, Butterworths, London, U.K
    • Curry, L. (1971). Application of space-time moving-average forecasting. In: Regional Forecasting, edited by M. Chisholm, A. Frey and P. Haggert, Colston Papers No. 22, Butterworths, London, U.K.
    • (1971) Regional Forecasting
    • Curry, L.1
  • 186
    • 84949692310 scopus 로고
    • A spatial analysis of gravity flows
    • Curry, L. (1972a). A spatial analysis of gravity flows. Regional Studies, Vol. 6, pp. 131-47.
    • (1972) Regional Studies , vol.6 , pp. 131-147
    • Curry, L.1
  • 187
    • 84886976129 scopus 로고
    • Spatial entropy
    • edited by W.P. Adams and F.M. Helleiner, University of Toronto Press, Toronto, Canada, P1204
    • Curry, L. (1972b). Spatial entropy. In: International Geography 2, P1204, edited by W.P. Adams and F.M. Helleiner, University of Toronto Press, Toronto, Canada.
    • (1972) International Geography , vol.2
    • Curry, L.1
  • 188
    • 0018005296 scopus 로고
    • Interactivity, accessibility and cost in trip distribution
    • Erlander, S. and Stewart, N.F. (1978). Interactivity, accessibility and cost in trip distribution. Transportation Research, Vol. 12, pp. 291-3.
    • (1978) Transportation Research , vol.12 , pp. 291-293
    • Erlander, S.1    Stewart, N.F.2
  • 189
    • 0004084224 scopus 로고
    • Prentice Hall, Englewood Cliffs, New Jersey
    • Goldman, S. (1953). Information Theory. Prentice Hall, Englewood Cliffs, New Jersey.
    • (1953) Information Theory
    • Goldman, S.1
  • 192
    • 84917756333 scopus 로고
    • Geographical differentiation and its measures in a discrete system
    • Gurevich, B.L. (1969). Geographical differentiation and its measures in a discrete system. Soviet Geography: Reviews and Translations, Vol. 16, pp. 387-413.
    • (1969) Soviet Geography: Reviews and Translations , vol.16 , pp. 387-413
    • Gurevich, B.L.1
  • 193
    • 0003906881 scopus 로고
    • U.S. Geological Survey Professional Paper 500-A, Government Printing Office, Washington, D.C
    • Leopold, L.B. and Langbein, W.B. (1962). The concept of entropy in landscape evolution. U.S. Geological Survey Professional Paper 500-A, Government Printing Office, Washington, D.C.
    • (1962) The concept of entropy in landscape evolution
    • Leopold, L.B.1    Langbein, W.B.2
  • 194
    • 84977433493 scopus 로고
    • Information theory and geography
    • Marchand, B. (1972). Information theory and geography. Geographical Analysis, Vol. 4, pp. 234-57.
    • (1972) Geographical Analysis , vol.4 , pp. 234-257
    • Marchand, B.1
  • 195
    • 0007963585 scopus 로고
    • Entropy: An assessment of potentialities in geography
    • Medvedkov, Y. (1970). Entropy: An assessment of potentialities in geography. Economic Geography, Supplement, Vol. 46, pp. 306-16.
    • (1970) Economic Geography, Supplement , vol.46 , pp. 306-316
    • Medvedkov, Y.1
  • 197
    • 0003958372 scopus 로고
    • English Translation by Ann S. Schwier, 1971, Augustus M. Kelley Publishers, New York
    • Pareto, V. (1906). Manual of Political Economy. (English Translation by Ann S. Schwier, 1971), Augustus M. Kelley Publishers, New York.
    • (1906) Manual of Political Economy
    • Pareto, V.1
  • 198
    • 0035052690 scopus 로고    scopus 로고
    • Updating and estimating in a social accounting matrix using cross entropy methods
    • Robinson, S., Cattaneo, A. and El-Said, M. (2001). Updating and estimating in a social accounting matrix using cross entropy methods. Economic Systems Research, Vol. 13, No. 1, pp. 47-64.
    • (2001) Economic Systems Research , vol.13 , Issue.1 , pp. 47-64
    • Robinson, S.1    Cattaneo, A.2    El-Said, M.3
  • 199
    • 0344619796 scopus 로고
    • An analysis of entropy changes in a settlement pattern over time
    • Semple, R.K. and Golledge, R.G. (1970). An analysis of entropy changes in a settlement pattern over time. Economic Geography, Vol. 46, pp. 157-60.
    • (1970) Economic Geography , vol.46 , pp. 157-160
    • Semple, R.K.1    Golledge, R.G.2
  • 200
    • 0004228888 scopus 로고
    • North Holland Publishing Company, Amsterdam, The Netherlands
    • Theil, H. (1967). Economics and Information Theory. North Holland Publishing Company, Amsterdam, The Netherlands.
    • (1967) Economics and Information Theory
    • Theil, H.1
  • 201
    • 84977397781 scopus 로고
    • Disutility as a probability: An interpretation of weighted information measures
    • Theil, H. (1980). Disutility as a probability: An interpretation of weighted information measures. Management Science, Vol. 26, pp. 1281-4.
    • (1980) Management Science , vol.26 , pp. 1281-1284
    • Theil, H.1
  • 204
    • 84977348924 scopus 로고
    • An information theory approach to the partitioning of an area
    • Ya Nutenko, L. (1970). An information theory approach to the partitioning of an area. Soviet Geography: Reviews and Translations, Vol. 11, pp. 540-4.
    • (1970) Soviet Geography: Reviews and Translations , vol.11 , pp. 540-544
    • Ya Nutenko, L.1
  • 205
    • 34250726719 scopus 로고    scopus 로고
    • Environment and Production Technology Division Discussion Paper No. 126, International Food Policy Research Institute, Washington, D.C
    • You, L. and Wood, S. (2003). Patial allocation of agricultural production using a cross-entropy approach. Environment and Production Technology Division Discussion Paper No. 126, International Food Policy Research Institute, Washington, D.C.
    • (2003) Patial allocation of agricultural production using a cross-entropy approach
    • You, L.1    Wood, S.2
  • 207
    • 33745328923 scopus 로고    scopus 로고
    • An entropy approach to spatial disaggregation of agricultural production
    • You, L. and Wood, S. (2006). An entropy approach to spatial disaggregation of agricultural production. Agricultural Systems, Vol. 90, No. 1-3, pp. 329-47.
    • (2006) Agricultural Systems , vol.90 , Issue.1-3 , pp. 329-347
    • You, L.1    Wood, S.2
  • 208
    • 58549095914 scopus 로고    scopus 로고
    • Generating plausible crop distribution maps for sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach
    • You, L., Wood, S. and Wood-Sichra U. (2009). Generating plausible crop distribution maps for sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach. Agricultural Systems, Vol. 99, pp. 126-40.
    • (2009) Agricultural Systems , vol.99 , pp. 126-140
    • You, L.1    Wood, S.2    Wood-Sichra, U.3
  • 209
    • 84952524259 scopus 로고
    • Optimal information processing and Bayes theorem
    • Zellner, A. (1988). Optimal information processing and Bayes theorem. American Statistician, Vol. 42, pp. 278-84.
    • (1988) American Statistician , vol.42 , pp. 278-284
    • Zellner, A.1
  • 212
    • 84977403449 scopus 로고
    • Entropy in spatial aggregation
    • Batty, M. (1976). Entropy in spatial aggregation. Geographical Analysis, Vol. 8, pp. 1-21.
    • (1976) Geographical Analysis , vol.8 , pp. 1-21
    • Batty, M.1
  • 213
    • 77958567926 scopus 로고    scopus 로고
    • Space, scale, and scaling in entropy maximizing
    • Batty, M. (2010). Space, scale, and scaling in entropy maximizing. Geographical Analysis, Vol. 42, pp. 395-421.
    • (2010) Geographical Analysis , vol.42 , pp. 395-421
    • Batty, M.1
  • 215
    • 0003709686 scopus 로고
    • The application of information theory to the analysis of population distributions in space
    • Chapman, G.P. (1970). The application of information theory to the analysis of population distributions in space. Economic Geography, Supplement, Vol. 46, pp. 317-31.
    • (1970) Economic Geography, Supplement , vol.46 , pp. 317-331
    • Chapman, G.P.1
  • 216
    • 84886973913 scopus 로고
    • Applicability of space-time moving average forecasting
    • M. Chisolm, A, Frey and P. Haggett, editors, Colston Papers, No. 22, Butterworths, London, U.K
    • Curry, L. (1971). Applicability of space-time moving average forecasting. In M. Chisolm, A, Frey and P. Haggett, editors, Regional Forecasting, Colston Papers, No. 22, Butterworths, London, U.K.
    • (1971) Regional Forecasting
    • Curry, L.1
  • 217
    • 84949692310 scopus 로고
    • A spatial analysis of gravity flows
    • Curry, L. (1972a). A spatial analysis of gravity flows. Regional Studies, Vol. 6, pp. 131-47.
    • (1972) Regional Studies , vol.6 , pp. 131-147
    • Curry, L.1
  • 222
    • 0344619796 scopus 로고
    • An analysis of entropy changes in a settlement pattern over time
    • Semple, R.K. and Golledge, R.G. (1970). An analysis of entropy changes in a settlement pattern over time. Economic Geography, Vol. 46, pp. 157-60.
    • (1970) Economic Geography , vol.46 , pp. 157-160
    • Semple, R.K.1    Golledge, R.G.2
  • 225
    • 0002850467 scopus 로고
    • Geographic area and map projections
    • Tobler, W. (1963). Geographic area and map projections. Geographical Review, Vol. 53, pp. 59-78.
    • (1963) Geographical Review , vol.53 , pp. 59-78
    • Tobler, W.1
  • 227
    • 0003645554 scopus 로고
    • Paper presented at NATO Advanced Institute on Signal Processing with Emphasis on Underwater Acoustics
    • Burg, J.P. (1969). A new analysis technique for time series data. Paper presented at NATO Advanced Institute on Signal Processing with Emphasis on Underwater Acoustics.
    • (1969) A new analysis technique for time series data
    • Burg, J.P.1
  • 228
    • 0001098055 scopus 로고
    • The relationship maximum entropy spectra and maximum likelihood spectra
    • Burg, J.P. (1972a). The relationship maximum entropy spectra and maximum likelihood spectra. Geophysics, Vol. 37, No. 2, pp. 375-6.
    • (1972) Geophysics , vol.37 , Issue.2 , pp. 375-376
    • Burg, J.P.1
  • 229
    • 84857283979 scopus 로고
    • The relationship between maximum entropy spectra and maximum likelihood spectra
    • edited by D.G. Childers, M.S.A
    • Burg, J.P. (1972b). The relationship between maximum entropy spectra and maximum likelihood spectra. in: Modern Spectral Analysis, edited by D.G. Childers, pp. 130-1, M.S.A.
    • (1972) Modern Spectral Analysis , pp. 130-131
    • Burg, J.P.1
  • 230
    • 0004147631 scopus 로고
    • Unpublished Ph.D. dissertation, Stanford University, Palo Alto, California
    • Burg, J.P. (1975). Maximum entropy spectral analysis. Unpublished Ph.D. dissertation, Stanford University, Palo Alto, California.
    • (1975) Maximum entropy spectral analysis
    • Burg, J.P.1
  • 231
    • 0024855307 scopus 로고    scopus 로고
    • Maximum entropy spectra for regional precipitation analysis and forecasting
    • Dalezios, N.R. and Tyraskis, P.A. (1999). Maximum entropy spectra for regional precipitation analysis and forecasting. Journal of Hydrology, Vol. 109, pp. 25-42.
    • (1999) Journal of Hydrology , vol.109 , pp. 25-42
    • Dalezios, N.R.1    Tyraskis, P.A.2
  • 233
    • 0015319572 scopus 로고
    • Restoring with maximum likelihood and maximum entropy
    • Frieden, B.R. (1972). Restoring with maximum likelihood and maximum entropy. Journal of Optical Society of America, Vol. 62, pp. 511-18.
    • (1972) Journal of Optical Society of America , vol.62 , pp. 511-518
    • Frieden, B.R.1
  • 234
    • 33747581732 scopus 로고
    • Image reconstruction from incomplete and noisy data
    • Gull, S.F. and Daniell, G.J. (1978). Image reconstruction from incomplete and noisy data. Nature, Vol. 272, pp. 686-90.
    • (1978) Nature , vol.272 , pp. 686-690
    • Gull, S.F.1    Daniell, G.J.2
  • 238
    • 0024192941 scopus 로고    scopus 로고
    • Maximum entropy spectral analysis of hydrologic data
    • Padmanabhan, G. and Rao, A.R. (1999). Maximum entropy spectral analysis of hydrologic data. Water Resources Research, Vol. 24, No. 9, pp. 1519-33.
    • (1999) Water Resources Research , vol.24 , Issue.9 , pp. 1519-1533
    • Padmanabhan, G.1    Rao, A.R.2
  • 239
    • 33845449559 scopus 로고
    • NRL Memorandum Report 3921, Naval Research Laboratory, Washington, D.C
    • Shore, J.E. (1979). Minimum cross-entropy spectral analysis. NRL Memorandum Report 3921, 32 p., Naval Research Laboratory, Washington, D.C.
    • (1979) Minimum cross-entropy spectral analysis , pp. 32
    • Shore, J.E.1
  • 240
    • 0019665263 scopus 로고
    • A new approach to the estimation of continuous spectra
    • Tzannes, N.S. and Avgeris, T.G. (1981). A new approach to the estimation of continuous spectra. Kybernetes, Vol. 10, pp. 123-33.
    • (1981) Kybernetes , vol.10 , pp. 123-133
    • Tzannes, N.S.1    Avgeris, T.G.2
  • 243
    • 0020735348 scopus 로고
    • An explicit solution and data extension in the maximum entropy method
    • Wu, N.-L. (1983). An explicit solution and data extension in the maximum entropy method. IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. ASSP-31, No. 2, pp. 486-91.
    • (1983) IEEE Transactions on Acoustics, Speech, and Signal Processing , vol.ASSP-31 , Issue.2 , pp. 486-491
    • Wu, N.-L.1
  • 244
    • 84886974046 scopus 로고
    • Paper presented at 37th Annual Meeting of Society of Exploration Geophysicists, Oklahoma City, Oklahoma
    • Burg, J.P. (1967). Maximum entropy spectral analysis. Paper presented at 37th Annual Meeting of Society of Exploration Geophysicists, Oklahoma City, Oklahoma.
    • (1967) Maximum entropy spectral analysis
    • Burg, J.P.1
  • 245
    • 0003645554 scopus 로고
    • Paper presented at NATO Advanced Institute on Signal Processing with Emphasis on Underwater Acoustics
    • Burg, J.P. (1969). A new analysis technique for time series data. Paper presented at NATO Advanced Institute on Signal Processing with Emphasis on Underwater Acoustics.
    • (1969) A new analysis technique for time series data
    • Burg, J.P.1
  • 246
    • 0001098055 scopus 로고
    • The relationship maximum entropy spectra and maximum likelihood spectra
    • Burg, J.P. (1972a). The relationship maximum entropy spectra and maximum likelihood spectra. Geophysics, Vol. 37, No. 2, pp. 375-6.
    • (1972) Geophysics , vol.37 , Issue.2 , pp. 375-376
    • Burg, J.P.1
  • 247
    • 84857283979 scopus 로고
    • The relationship between maximum entropy spectra and maximum likelihood spectra
    • edited by D.G. Childers, M.S.A
    • Burg, J.P. (1972b). The relationship between maximum entropy spectra and maximum likelihood spectra. in: Modern Spectral Analysis, edited by D.G. Childers, pp. 130-1, M.S.A.
    • (1972) Modern Spectral Analysis , pp. 130-131
    • Burg, J.P.1
  • 248
    • 0004147631 scopus 로고
    • Unpublished Ph.D. dissertation, Stanford University, Palo Alto, California
    • Burg, J.P. (1975). Maximum entropy spectral analysis. Unpublished Ph.D. dissertation, Stanford University, Palo Alto, California.
    • (1975) Maximum entropy spectral analysis
    • Burg, J.P.1
  • 249
    • 0024855307 scopus 로고    scopus 로고
    • Maximum entropy spectra for regional precipitation analysis and forecasting
    • Dalezios, N.R. and Tyraskis, P.A. (1999). Maximum entropy spectra for regional precipitation analysis and forecasting. Journal of Hydrology, Vol. 109, pp. 25-42.
    • (1999) Journal of Hydrology , vol.109 , pp. 25-42
    • Dalezios, N.R.1    Tyraskis, P.A.2
  • 255
    • 0024192941 scopus 로고    scopus 로고
    • Maximum entropy spectral analysis of hydrologic data
    • Padmanabhan, G. and Rao, A.R. (1988). Maximum entropy spectral analysis of hydrologic data. Water Resources Research, Vol. 24, No. 9, pp. 1519-33.
    • (1988) Water Resources Research , vol.24 , Issue.9 , pp. 1519-1533
    • Padmanabhan, G.1    Rao, A.R.2
  • 256
    • 33845449559 scopus 로고
    • Minimum cross-entropy spectral analysis
    • Naval Research Laboratory, Washington, D.C
    • Shore, J.E. (1979). Minimum cross-entropy spectral analysis. NRL Memorandum Report 3921, 32 pp., Naval Research Laboratory, Washington, D.C.
    • (1979) NRL Memorandum Report 3921 , pp. 32
    • Shore, J.E.1
  • 257
    • 0019554604 scopus 로고
    • Minimum cross-entropy spectral analysis
    • Speech, and Signal Processing
    • Shore, J.E. (1981). Minimum cross-entropy spectral analysis. IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. ASSP-291, pp. 230-7.
    • (1981) IEEE Transactions on Acoustics , vol.ASSP-291 , pp. 230-7
    • Shore, J.E.1
  • 258
    • 0018877134 scopus 로고
    • Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross entropy
    • Shore, J.E. (1983). Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross entropy. IEEE Transactions on Information Theory, Vol. IT-26, pp. 26-37.
    • (1983) IEEE Transactions on Information Theory , vol.IT-26 , pp. 26-37
    • Shore, J.E.1
  • 260
    • 0024855310 scopus 로고
    • A Monte Carlo comparison of parametric and nonparametric estimation of flood frequencies
    • Adamowski, K. (1989). A Monte Carlo comparison of parametric and nonparametric estimation of flood frequencies. Journal of Hydrology, Vol. 108, pp. 295-309.
    • (1989) Journal of Hydrology , vol.108 , pp. 295-309
    • Adamowski, K.1
  • 262
    • 79551491257 scopus 로고    scopus 로고
    • Information theory-based approach for location of monitoring water level gauges
    • doi:10.1029/2009WR008101, W03528
    • Alfonso, L., Price, R. and Lobbrecht, A., 2010. Information theory-based approach for location of monitoring water level gauges. Water Resources Research, Vol. 46, W03528, doi:10.1029/2009WR008101.
    • (2010) Water Resources Research , vol.46
    • Alfonso, L.1    Price, R.2    Lobbrecht, A.3
  • 263
    • 0032033006 scopus 로고    scopus 로고
    • An algorithm for designing a precipitation network in the south-western region of Saudi Arabia
    • Al-Zahrani, M. and Husain, T. (1998). An algorithm for designing a precipitation network in the south-western region of Saudi Arabia. Journal of Hydrology, Vol. 295, No. 3-4, pp. 205-16.
    • (1998) Journal of Hydrology , vol.295 , Issue.3-4 , pp. 205-216
    • Al-Zahrani, M.1    Husain, T.2
  • 267
    • 0026000117 scopus 로고
    • An approach to the rationalization of streamflow data collection networks
    • Burn, D.H. and Goulter, I.C. (1991). An approach to the rationalization of streamflow data collection networks. Journal of Hydrology, Vol. 122, pp. 71-91.
    • (1991) Journal of Hydrology , vol.122 , pp. 71-91
    • Burn, D.H.1    Goulter, I.C.2
  • 268
    • 0343171028 scopus 로고
    • Estimation of a multivariate density
    • Cacoullos, T. (1966). Estimation of a multivariate density. Inst. Stat., Math. Ann., Vol. 18, pp. 179-89.
    • (1966) Inst. Stat., Math. Ann. , vol.18 , pp. 179-189
    • Cacoullos, T.1
  • 270
    • 77951671552 scopus 로고    scopus 로고
    • Rutgers, The State University of New Jersey, New Brunswcks, New Jersey
    • Fass, D.M. (2006). Human Sensitivity to Mutual Information. Rutgers, The State University of New Jersey, New Brunswcks, New Jersey.
    • (2006) Human Sensitivity to Mutual Information
    • Fass, D.M.1
  • 272
    • 0013634693 scopus 로고
    • Measuring the information content of hydrological processes by the entropy concept
    • Special Issue: Centennial of Ataturk's Birth, Izmir, Turkey
    • Harmancioglu, N.B. (1981). Measuring the information content of hydrological processes by the entropy concept. Journal of Civil Engineering Faculty of Ege University, Special Issue: Centennial of Ataturk's Birth, Izmir, pp. 13-40, Turkey.
    • (1981) Journal of Civil Engineering Faculty of Ege University , pp. 13-40
    • Harmancioglu, N.B.1
  • 273
    • 0021664480 scopus 로고
    • Entropy concept as used in determination of optimum sampling intervals
    • International Conference on Hydraulic Engineering Software, Portoroz, Yugoslavia, 6-110
    • Harmancioglu, N.B. (1984). Entropy concept as used in determination of optimum sampling intervals. Proceedings of Hydrosoft '84, International Conference on Hydraulic Engineering Software, Portoroz, Yugoslavia, pp. 6-99 to 6-110.
    • (1984) Proceedings of Hydrosoft '84 , pp. 6-99
    • Harmancioglu, N.B.1
  • 274
    • 0026735391 scopus 로고
    • Water quality monitoring network design
    • Harmancioglu, N.B. and Alpaslan, N. (1992). Water quality monitoring network design. Water Resources Bulletin, Vol. 28, No. 1, pp. 179-92.
    • (1992) Water Resources Bulletin , vol.28 , Issue.1 , pp. 179-192
    • Harmancioglu, N.B.1    Alpaslan, N.2
  • 277
    • 0023524227 scopus 로고
    • Transfer of hydrologic information among river points
    • Harmancioglu, N.B. and Yevjevich, V. (1987). Transfer of hydrologic information among river points. Journal of Hydrology, Vol. 91, pp. 103-18.
    • (1987) Journal of Hydrology , vol.91 , pp. 103-118
    • Harmancioglu, N.B.1    Yevjevich, V.2
  • 278
    • 0023310659 scopus 로고
    • Hydrologic network design formulation
    • Husain, T. (1987). Hydrologic network design formulation. Canadian Water Resources Journal, Vol. 12, No. 1, pp. 44-63.
    • (1987) Canadian Water Resources Journal , vol.12 , Issue.1 , pp. 44-63
    • Husain, T.1
  • 279
    • 0024681094 scopus 로고
    • Hydrologic uncertainty measure and network design
    • Husain, T. (1989). Hydrologic uncertainty measure and network design. Water Resources Bulletin, Vol. 25, No.3, pp. 527-34.
    • (1989) Water Resources Bulletin , vol.25 , Issue.3 , pp. 527-534
    • Husain, T.1
  • 290
    • 0030708815 scopus 로고    scopus 로고
    • On the equivalence of Kriging and maximum entropy estimators
    • Lee Y. and Ellis, J.H. (1997). On the equivalence of Kriging and maximum entropy estimators. Mathematical Geology, Vol. 29, No. 1, pp. 131-52.
    • (1997) Mathematical Geology , vol.29 , Issue.1 , pp. 131-152
    • Lee, Y.1    Ellis, J.H.2
  • 291
    • 0001837838 scopus 로고
    • An informational measure of correlation
    • Linfoot, E.H. (1957). An informational measure of correlation. Information and Control, Vol. 1, pp. 85-9.
    • (1957) Information and Control , vol.1 , pp. 85-89
    • Linfoot, E.H.1
  • 292
    • 0004027973 scopus 로고    scopus 로고
    • Cambridge University Press: Cambridge
    • Lubbe, C.A. (1996). Information Theory. Cambridge University Press: Cambridge; 350 pp.
    • (1996) Information Theory , pp. 350
    • Lubbe, C.A.1
  • 293
    • 0002801737 scopus 로고
    • Multivariate information transmission
    • McGill, W.J., (1954). Multivariate information transmission. Psychometrika, Vol. 19, pp. 97-116.
    • (1954) Psychometrika , vol.19 , pp. 97-116
    • McGill, W.J.1
  • 294
    • 70349859901 scopus 로고    scopus 로고
    • Developments in hydrometric network design: a review
    • doi:10.1029/2007RG000243, RG2001
    • Mishra, A.K. and Coulibaly, P. (2009). Developments in hydrometric network design: a review. Reviews of Geophysics, Vol. 47, RG2001, doi:10.1029/2007RG000243.
    • (2009) Reviews of Geophysics , vol.47
    • Mishra, A.K.1    Coulibaly, P.2
  • 295
    • 0036478193 scopus 로고    scopus 로고
    • Application of information theory to groundwater quality monitoring networks
    • Mogheir, Y. and Singh, V.P. (2002). Application of information theory to groundwater quality monitoring networks. Water Resources Management, Vol. 16, No. 1, pp. 37-49.
    • (2002) Water Resources Management , vol.16 , Issue.1 , pp. 37-49
    • Mogheir, Y.1    Singh, V.P.2
  • 297
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • Parzen, E. (1962). On estimation of a probability density function and mode. Annals of Mathematical Statistics, Vol. 33, pp. 1065-76.
    • (1962) Annals of Mathematical Statistics , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 298
    • 0016092885 scopus 로고
    • The design of rainfall networks in time and space
    • Rodriguez-Iturbe, I. and Mejia, J.M. (1974). The design of rainfall networks in time and space. Water Resources Research, Vol. 10, No. 4, pp. 713-28.
    • (1974) Water Resources Research , vol.10 , Issue.4 , pp. 713-728
    • Rodriguez-Iturbe, I.1    Mejia, J.M.2
  • 299
    • 0018734781 scopus 로고
    • On optimal and data-based histograms
    • Scott, D.W. (1979). On optimal and data-based histograms. Biometrica, Vol. 66, No. 3, pp. 605-10.
    • (1979) Biometrica , vol.66 , Issue.3 , pp. 605-610
    • Scott, D.W.1
  • 303
    • 0345997703 scopus 로고
    • Information theoretical analysis of multivariate correlation
    • Watanabe, S. (1960). Information theoretical analysis of multivariate correlation. IBM Journal of Research and development, Vol. 6.
    • (1960) IBM Journal of Research and development , vol.6
    • Watanabe, S.1
  • 305
    • 0028434020 scopus 로고
    • An entropy approach to data collection network design
    • Yang, Y. and Burn, D.H. (1994). An entropy approach to data collection network design. Journal of Hydrology, Vol. 157, pp. 307-24.
    • (1994) Journal of Hydrology , vol.157 , pp. 307-324
    • Yang, Y.1    Burn, D.H.2
  • 307
    • 0026290558 scopus 로고
    • Natural disasters: a framework for research and detaching
    • Alexander, D.E. (1991). Natural disasters: a framework for research and detaching. Disasters, Vol. 14, No. 3, pp. 209-26.
    • (1991) Disasters , vol.14 , Issue.3 , pp. 209-226
    • Alexander, D.E.1
  • 309
    • 34648822880 scopus 로고    scopus 로고
    • New entropy-based method for variables selection and its application to the debris-flow hazard assessment
    • Chen, C.C., Tseng, C.Y. and Dong, J.Y. (2007). New entropy-based method for variables selection and its application to the debris-flow hazard assessment. Engineering Geology, Vol. 94, pp. 19-26.
    • (2007) Engineering Geology , vol.94 , pp. 19-26
    • Chen, C.C.1    Tseng, C.Y.2    Dong, J.Y.3
  • 312
    • 0037290186 scopus 로고    scopus 로고
    • Variable selection in qualitative models via an entropic explanatory power
    • Dupuis, J.A. and Robert, C.P. (2003). Variable selection in qualitative models via an entropic explanatory power. Journal of Statistical Planning and Inference, Vol. 111, pp. 77-94.
    • (2003) Journal of Statistical Planning and Inference , vol.111 , pp. 77-94
    • Dupuis, J.A.1    Robert, C.P.2
  • 313
    • 0141613707 scopus 로고    scopus 로고
    • Hidden Markov random field model selection criteria based on mean filed-like approximations
    • Forbes, F. and Peyrard, N. (2003). Hidden Markov random field model selection criteria based on mean filed-like approximations. IEEE transactions: Pattern Analysis and Machine Intelligence, Vol. 25, No. 9, pp. 1089-101.
    • (2003) IEEE transactions: Pattern Analysis and Machine Intelligence , vol.25 , Issue.9 , pp. 1089-1101
    • Forbes, F.1    Peyrard, N.2
  • 317
    • 0036837313 scopus 로고    scopus 로고
    • Assessing debris flow hazard in a watershed in Taiwan
    • Lin, P.S., Hung, J.Y. and Yang, J.C. (2002). Assessing debris flow hazard in a watershed in Taiwan. Engineering Geology, Vol. 66, pp. 295-313.
    • (2002) Engineering Geology , vol.66 , pp. 295-313
    • Lin, P.S.1    Hung, J.Y.2    Yang, J.C.3
  • 318
    • 0038383041 scopus 로고    scopus 로고
    • A method for assessing regional debris flow risk: An application in Zhaotong of Yunnan province (WS China)
    • Liu, X. and Lei, J. (2003). A method for assessing regional debris flow risk: An application in Zhaotong of Yunnan province (WS China). Geomorphology, Vol. 52, pp. 181-91.
    • (2003) Geomorphology , vol.52 , pp. 181-191
    • Liu, X.1    Lei, J.2
  • 321
    • 33748150915 scopus 로고    scopus 로고
    • Entropic criterion for model selection
    • Tseng, C.Y. (2006). Entropic criterion for model selection. Physica A, Vol. 370, pp. 530-8.
    • (2006) Physica A , vol.370 , pp. 530-538
    • Tseng, C.Y.1
  • 322
    • 21844520366 scopus 로고
    • The influence of variable selection: a Bayesian diagnostic perspective
    • Weiss, R.E. (1995). The influence of variable selection: a Bayesian diagnostic perspective. Journal of American Statistical Association, Vol. 90, pp. 619-25.
    • (1995) Journal of American Statistical Association , vol.90 , pp. 619-625
    • Weiss, R.E.1
  • 323
    • 34648849221 scopus 로고    scopus 로고
    • Neural network modelling of non-linear hydrological relationships
    • Abrahart, R. J. and See, L. M. (2007). Neural network modelling of non-linear hydrological relationships. Hydrol. Earth Syst. Sci., 11, 1563-79.
    • (2007) Hydrol. Earth Syst. Sci. , vol.11 , pp. 1563-1579
    • Abrahart, R.J.1    See, L.M.2
  • 324
  • 325
    • 0024052850 scopus 로고
    • Experiments on neural net recognition of spoken and written text
    • Burr, D.J. (1988). Experiments on neural net recognition of spoken and written text. IEEE Transactions: Acoustic, Speech, Signal Processing, Vol. 36, pp. 1162-8.
    • (1988) IEEE Transactions: Acoustic, Speech, Signal Processing , vol.36 , pp. 1162-1168
    • Burr, D.J.1
  • 327
    • 0023515080 scopus 로고
    • Counterpropagation networks
    • Hecht-Nielsen, R. (1987). Counterpropagation networks. Applied Optimization, Vol. 36, pp. 4979-84.
    • (1987) Applied Optimization , vol.36 , pp. 4979-4984
    • Hecht-Nielsen, R.1
  • 329
    • 0023981750 scopus 로고
    • Self generalization in a perceptual network
    • Linsker, R. (1988a). Self generalization in a perceptual network. Computer, Vol. 21, pp. 105-17.
    • (1988) Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 330
    • 0010437931 scopus 로고
    • Towards an organizing principle for a layered perceptual network
    • edited by D.Z. Anderson, American Institute of Physics, New York
    • Linsker, R. (1988b). Towards an organizing principle for a layered perceptual network. In: Neural Information Processing Systems, edited by D.Z. Anderson, pp. 485-94, American Institute of Physics, New York.
    • (1988) Neural Information Processing Systems , pp. 485-494
    • Linsker, R.1
  • 331
    • 0003284798 scopus 로고
    • An application of the principle of maximum information preservation to linear systems
    • Linsker, R. (1989a). An application of the principle of maximum information preservation to linear systems. Advances in Neural Information Processing Systems, Vol. 1, pp. 186-94.
    • (1989) Advances in Neural Information Processing Systems , vol.1 , pp. 186-194
    • Linsker, R.1
  • 332
    • 0000353243 scopus 로고
    • How to generate ordered maps by maximizing the mutual information between input and output signals
    • Linsker, R. (1989b). How to generate ordered maps by maximizing the mutual information between input and output signals. Neural Computation, Vol. 1, pp. 402-11.
    • (1989) Neural Computation , vol.1 , pp. 402-411
    • Linsker, R.1
  • 333
    • 0025318244 scopus 로고
    • Perceptual neural organization: Some approaches based on network models and information theory
    • Linsker, R. (1990a). Perceptual neural organization: Some approaches based on network models and information theory. Annual Review of Neuroscience, Vol. 13, pp. 257-81.
    • (1990) Annual Review of Neuroscience , vol.13 , pp. 257-281
    • Linsker, R.1
  • 334
    • 2042521955 scopus 로고
    • Self-organization in a perceptual system: How network models and information may shed light on neural organization
    • edited by S.J. Hanson and C. Roldon, Chapter 10, MIT Press, Cambridge
    • Linsker, R. (1990b). Self-organization in a perceptual system: How network models and information may shed light on neural organization. In: Connectionist Modeling and Brain Function: The Developing Interface, edited by S.J. Hanson and C. Roldon, Chapter 10, pp. 351-92, MIT Press, Cambridge.
    • (1990) Connectionist Modeling and Brain Function: The Developing Interface , pp. 351-392
    • Linsker, R.1
  • 335
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Lippmann, R.P. (1987). An introduction to computing with neural nets. IEEE ASSP Management, pp. 4-22.
    • (1987) IEEE ASSP Management , pp. 4-22
    • Lippmann, R.P.1
  • 336
    • 32544445552 scopus 로고    scopus 로고
    • A real-time stage Muskingum forecasting model for a site without rating curve
    • Moramarco, T., Barbetta, S., Melone, F. and Singh, V. P. (2006). A real-time stage Muskingum forecasting model for a site without rating curve. Hydrological Sciences Journal, Vol. 51, No. 1, pp. 66-82.
    • (2006) Hydrological Sciences Journal , vol.51 , Issue.1 , pp. 66-82
    • Moramarco, T.1    Barbetta, S.2    Melone, F.3    Singh, V.P.4
  • 338
    • 11644276139 scopus 로고    scopus 로고
    • Predicting longitudinal dispersion coefficient in natural streams
    • Seo, I.W. and Cheong, T.S. (1998). Predicting longitudinal dispersion coefficient in natural streams. Journal of Hydraulic Engineering, ASCE, Vol. 124, No. 1, pp. 25-32.
    • (1998) Journal of Hydraulic Engineering, ASCE , vol.124 , Issue.1 , pp. 25-32
    • Seo, I.W.1    Cheong, T.S.2
  • 339
    • 0025508354 scopus 로고
    • Entropy nets: From decision trees to neural networks
    • Sethi, I.K. (1990). Entropy nets: From decision trees to neural networks. Proceedings of the IEEE, Vol. 78, No. 10, pp. 1605-13.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.10 , pp. 1605-1613
    • Sethi, I.K.1
  • 341
    • 27644468479 scopus 로고    scopus 로고
    • Predicting longitudinal dispersion coefficient in natural streams by artificial neural network
    • Tayfur, G. and Singh, V.P. (2005). Predicting longitudinal dispersion coefficient in natural streams by artificial neural network. Journal of Hydraulic Engineering, ASCE, Vol. 131, No. 11, pp. 991-1000.
    • (2005) Journal of Hydraulic Engineering, ASCE , vol.131 , Issue.11 , pp. 991-1000
    • Tayfur, G.1    Singh, V.P.2
  • 342
    • 20444494282 scopus 로고    scopus 로고
    • Case study: Finite element method and artificial neural network models for flow through Jeziorsko Earthfill Dam in Poland
    • Tayfur, G., Swiatek, D., Wita, A., and Singh, V.P. (2005). Case study: Finite element method and artificial neural network models for flow through Jeziorsko Earthfill Dam in Poland. Journal of Hydrologic Engineering, Vol. 131, No. 6, pp. 431-40.
    • (2005) Journal of Hydrologic Engineering , vol.131 , Issue.6 , pp. 431-440
    • Tayfur, G.1    Swiatek, D.2    Wita, A.3    Singh, V.P.4
  • 344
    • 0038675409 scopus 로고
    • Measuring complexity using information fluctuation
    • Bates, J.E. and Shepard, H.K. (1993). Measuring complexity using information fluctuation. Physical Letters A, Vol. 172, No.6, pp. 416-25.
    • (1993) Physical Letters A , vol.172 , Issue.6 , pp. 416-425
    • Bates, J.E.1    Shepard, H.K.2
  • 345
    • 0017416180 scopus 로고
    • Maximum-entropy complexity measures
    • Cornacchio, J.V. (1977). Maximum-entropy complexity measures. International Journal of Systems, Vol. 3, N. 4, pp. 215-25.
    • (1977) International Journal of Systems , vol.3 , Issue.4 , pp. 215-225
    • Cornacchio, J.V.1
  • 346
    • 76749150873 scopus 로고    scopus 로고
    • Complexity and information propagation in hydrologic time series of mountain forest catchments
    • Englehardt, S., Matyssek, R. and Huwe, B. (2009). Complexity and information propagation in hydrologic time series of mountain forest catchments. European Journal of Forestry Research, Vol. 128, pp. 621-31.
    • (2009) European Journal of Forestry Research , vol.128 , pp. 621-631
    • Englehardt, S.1    Matyssek, R.2    Huwe, B.3
  • 348
    • 0042317681 scopus 로고
    • Toward a quantitative theory of self-generated complexity
    • Grassberger, P. (1986). Toward a quantitative theory of self-generated complexity. International Journal of Theoretical Physics, Vol. 25, pp. 907-38.
    • (1986) International Journal of Theoretical Physics , vol.25 , pp. 907-938
    • Grassberger, P.1
  • 349
    • 0036140164 scopus 로고    scopus 로고
    • Entropy and complexity of finite sequences as fluctuating quantities
    • Jimenez-Montano, M.A., Ebeling, W., Pohl, T. and Rapp, P.E. (2002). Entropy and complexity of finite sequences as fluctuating quantities. BioSystems, Vol. 64, pp. 23-32.
    • (2002) BioSystems , vol.64 , pp. 23-32
    • Jimenez-Montano, M.A.1    Ebeling, W.2    Pohl, T.3    Rapp, P.E.4
  • 351
    • 80052186321 scopus 로고    scopus 로고
    • Time series analysis of ecosystem variables with complexity measures
    • Manuscript #250, New England Complex Systems Institute, Cambridge, Massachusetts
    • Lange, H. (1999). Time series analysis of ecosystem variables with complexity measures. International Journal of Complex Systems, Manuscript #250, New England Complex Systems Institute, Cambridge, Massachusetts.
    • (1999) International Journal of Complex Systems
    • Lange, H.1
  • 353
    • 33746472947 scopus 로고    scopus 로고
    • Berechnung von information und komplexitat von zeitreihen-analyse des wasserhaushaltes von bewaldeten einzugsgebieten
    • Wolf, F. (1999). Berechnung von information und komplexitat von zeitreihen-analyse des wasserhaushaltes von bewaldeten einzugsgebieten. Bayreuth. Forum Okol. Vol. 65, pp. 164S.
    • (1999) Bayreuth. Forum Okol , vol.65
    • Wolf, F.1


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