메뉴 건너뛰기




Volumn 502, Issue , 2013, Pages 103-119

Predictability of nonstationary time series using wavelet and EMD based ARMA models

Author keywords

Prediction; Rainfall; Streamflow; Time series analysis; Wavelets

Indexed keywords

AUTO REGRESSIVE MODELS; EMPIRICAL MODE DECOMPOSITION; NON-STATIONARY TIME SERIES; ORTHOGONAL COMPONENTS; PREDICTION CAPABILITY; TIME SERIES ALGORITHMS; WAVELET-BASED METHODS; WAVELETS;

EID: 84883778665     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.08.030     Document Type: Article
Times cited : (155)

References (115)
  • 1
    • 80052027629 scopus 로고    scopus 로고
    • A wavelet neural network conjunction model for groundwater level forecasting
    • Adamowski J., Chan H.F. A wavelet neural network conjunction model for groundwater level forecasting. J. Hydrol. 2011, 407(1):28-40.
    • (2011) J. Hydrol. , vol.407 , Issue.1 , pp. 28-40
    • Adamowski, J.1    Chan, H.F.2
  • 2
    • 69249101676 scopus 로고    scopus 로고
    • Development of a new method of wavelet aided trend detection and estimation
    • Adamowski K., Prokoph A., Adamowski J. Development of a new method of wavelet aided trend detection and estimation. Hydrol. Process. 2009, 23(18):2686-2696.
    • (2009) Hydrol. Process. , vol.23 , Issue.18 , pp. 2686-2696
    • Adamowski, K.1    Prokoph, A.2    Adamowski, J.3
  • 3
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. A new look at the statistical model identification. IEEE Trans. Autom. Control 1974, 19(6):716-723.
    • (1974) IEEE Trans. Autom. Control , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 4
    • 51649158663 scopus 로고
    • A Bayesian analysis of the minimum AIC procedure
    • Akaike H. A Bayesian analysis of the minimum AIC procedure. Ann. Inst. Stat. Math. 1978, 30(1):9-14.
    • (1978) Ann. Inst. Stat. Math. , vol.30 , Issue.1 , pp. 9-14
    • Akaike, H.1
  • 5
    • 41449105037 scopus 로고    scopus 로고
    • Testing for climate warming in Sweden during 1850-1999, using wavelets analysis
    • Almasri A., Locking H., Shukur G. Testing for climate warming in Sweden during 1850-1999, using wavelets analysis. J. Appl. Stat. 2008, 35(4):431-443.
    • (2008) J. Appl. Stat. , vol.35 , Issue.4 , pp. 431-443
    • Almasri, A.1    Locking, H.2    Shukur, G.3
  • 6
    • 0005583049 scopus 로고
    • On the logic of the decomposition of statistical series into separate components
    • Anderson O. On the logic of the decomposition of statistical series into separate components. J. Roy. Stat. Soc. 1927, 90(3):548-569.
    • (1927) J. Roy. Stat. Soc. , vol.90 , Issue.3 , pp. 548-569
    • Anderson, O.1
  • 7
    • 0342505598 scopus 로고
    • Combining forecasts: the end of the beginning or the beginning of the end?
    • Armstrong J.S. Combining forecasts: the end of the beginning or the beginning of the end?. Int. J. Forecast. 1989, 5(4):585-588.
    • (1989) Int. J. Forecast. , vol.5 , Issue.4 , pp. 585-588
    • Armstrong, J.S.1
  • 8
    • 31044438334 scopus 로고    scopus 로고
    • Multi-time scale stream flow predictions: the support vector machines approach
    • Asefa T., Kemblowski M., McKee M., Khalil A. Multi-time scale stream flow predictions: the support vector machines approach. J. Hydrol. 2006, 318(1):7-16.
    • (2006) J. Hydrol. , vol.318 , Issue.1 , pp. 7-16
    • Asefa, T.1    Kemblowski, M.2    McKee, M.3    Khalil, A.4
  • 9
    • 0025244707 scopus 로고
    • Climatic and hydrologic effects on the regeneration of Populus angustifolia James along the Animas River, Colorado
    • Baker W.L. Climatic and hydrologic effects on the regeneration of Populus angustifolia James along the Animas River, Colorado. J. Biogeogr. 1990, 59-73.
    • (1990) J. Biogeogr. , pp. 59-73
    • Baker, W.L.1
  • 10
    • 0035154671 scopus 로고    scopus 로고
    • Using wavelets for data generation
    • Bayazit M., Aksoy H. Using wavelets for data generation. J. Appl. Stat. 2001, 28(2):157-166.
    • (2001) J. Appl. Stat. , vol.28 , Issue.2 , pp. 157-166
    • Bayazit, M.1    Aksoy, H.2
  • 11
    • 84937035392 scopus 로고
    • Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals
    • Boashash B. Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals. Proc. IEEE 1992, 80(4):520-538.
    • (1992) Proc. IEEE , vol.80 , Issue.4 , pp. 520-538
    • Boashash, B.1
  • 15
    • 0001097933 scopus 로고
    • The fundamental theorem of exponential smoothing
    • Brown R.G., Meyer R.F. The fundamental theorem of exponential smoothing. Oper. Res. 1961, 9(5):673-685.
    • (1961) Oper. Res. , vol.9 , Issue.5 , pp. 673-685
    • Brown, R.G.1    Meyer, R.F.2
  • 18
    • 33846807570 scopus 로고    scopus 로고
    • Multi-step-ahead neural networks for flood forecasting
    • Chang F.J., Chiang Y.M., Chang L.C. Multi-step-ahead neural networks for flood forecasting. Hydrol. Sci. J. 2007, 52(1):114-130.
    • (2007) Hydrol. Sci. J. , vol.52 , Issue.1 , pp. 114-130
    • Chang, F.J.1    Chiang, Y.M.2    Chang, L.C.3
  • 19
    • 84879431382 scopus 로고    scopus 로고
    • Reinforced recurrent neural networks for multi-step-ahead flood forecasts
    • Chen P.A., Chang L.C., Chang F.J. Reinforced recurrent neural networks for multi-step-ahead flood forecasts. J. Hydrol. 2013, 497:71-79.
    • (2013) J. Hydrol. , vol.497 , pp. 71-79
    • Chen, P.A.1    Chang, L.C.2    Chang, F.J.3
  • 20
    • 60549091177 scopus 로고    scopus 로고
    • Evolutionary artificial neural networks for hydrological systems forecasting
    • Chen Y.H., Chang F.J. Evolutionary artificial neural networks for hydrological systems forecasting. J. Hydrol. 2009, 367(1):125-137.
    • (2009) J. Hydrol. , vol.367 , Issue.1 , pp. 125-137
    • Chen, Y.H.1    Chang, F.J.2
  • 22
    • 0027840161 scopus 로고
    • Wavelets on the interval and fast wavelet transforms
    • Cohen A., Daubechies I., Vial P. Wavelets on the interval and fast wavelet transforms. Appl. Comput. Harmon. Anal. 1993, 1(1):54-81.
    • (1993) Appl. Comput. Harmon. Anal. , vol.1 , Issue.1 , pp. 54-81
    • Cohen, A.1    Daubechies, I.2    Vial, P.3
  • 23
    • 84990575058 scopus 로고
    • Orthonormal bases of compactly supported wavelets
    • Daubechies I. Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math. 1988, 41(7):909-996.
    • (1988) Commun. Pure Appl. Math. , vol.41 , Issue.7 , pp. 909-996
    • Daubechies, I.1
  • 24
    • 0003833285 scopus 로고
    • Society for industrial and applied mathematics, Philadelphia, PA
    • Daubechies I. Ten Lectures on Wavelets, vol. 61 1992, Society for industrial and applied mathematics, Philadelphia, PA.
    • (1992) Ten Lectures on Wavelets, vol. 61
    • Daubechies, I.1
  • 25
    • 85017216962 scopus 로고
    • Subband processing of finite length signals without border distortions. IEEE Int. Conf. Acoust. Speech Signal Process. ICASSP-92. 4
    • de Queiroz, R.L., 1992. Subband processing of finite length signals without border distortions. IEEE Int. Conf. Acoust. Speech Signal Process. ICASSP-92. 4, 613-616.
    • (1992) , pp. 613-616
    • de Queiroz, R.L.1
  • 26
    • 0029659968 scopus 로고    scopus 로고
    • The use of multiresolution analysis and wavelets transform for merging SPOT panchromatic and multispectral image data
    • Duport G.B., Girel J., Chassery J.M., Patou G. The use of multiresolution analysis and wavelets transform for merging SPOT panchromatic and multispectral image data. Photogramm. Eng. Remote Sens. 1996, 62(9):1057-1066.
    • (1996) Photogramm. Eng. Remote Sens. , vol.62 , Issue.9 , pp. 1057-1066
    • Duport, G.B.1    Girel, J.2    Chassery, J.M.3    Patou, G.4
  • 27
    • 0037005708 scopus 로고    scopus 로고
    • Estimation of missing streamflow data using principles of chaos theory
    • Elshorbagy A., Simonovic S.P., Panu U.S. Estimation of missing streamflow data using principles of chaos theory. J. Hydrol. 2002, 255(1):123-133.
    • (2002) J. Hydrol. , vol.255 , Issue.1 , pp. 123-133
    • Elshorbagy, A.1    Simonovic, S.P.2    Panu, U.S.3
  • 28
    • 79952006253 scopus 로고    scopus 로고
    • Forecasting discharges at the downstream end of a river reach through two simple Muskingum based procedures
    • Franchini M., Bernini A., Barbetta S., Moramarco T. Forecasting discharges at the downstream end of a river reach through two simple Muskingum based procedures. J. Hydrol. 2011, 399(3):335-352.
    • (2011) J. Hydrol. , vol.399 , Issue.3 , pp. 335-352
    • Franchini, M.1    Bernini, A.2    Barbetta, S.3    Moramarco, T.4
  • 29
    • 0040750023 scopus 로고
    • A method of decomposing an empirical series into its cyclical and progressive components
    • Frisch R. A method of decomposing an empirical series into its cyclical and progressive components. J. Am. Stat. Assoc. 1931, 26(173A):73-78.
    • (1931) J. Am. Stat. Assoc. , vol.26 , Issue.173 A , pp. 73-78
    • Frisch, R.1
  • 30
    • 38049035787 scopus 로고    scopus 로고
    • Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
    • Galford G.L., Mustard J.F., Melillo J., Gendrin A., Cerri C.C., Cerri C.E. Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil. Remote Sens. Environ. 2008, 112(2):576-587.
    • (2008) Remote Sens. Environ. , vol.112 , Issue.2 , pp. 576-587
    • Galford, G.L.1    Mustard, J.F.2    Melillo, J.3    Gendrin, A.4    Cerri, C.C.5    Cerri, C.E.6
  • 31
    • 0000562670 scopus 로고
    • Decomposition of Hardy functions into square integrable wavelets of constant shape
    • Grossmann A., Morlet J. Decomposition of Hardy functions into square integrable wavelets of constant shape. SIAM J. Math. Anal. 1984, 15(4):723-736.
    • (1984) SIAM J. Math. Anal. , vol.15 , Issue.4 , pp. 723-736
    • Grossmann, A.1    Morlet, J.2
  • 33
    • 34250967631 scopus 로고
    • Zur theorie der orthogonalen funktionensysteme
    • Haar A. Zur theorie der orthogonalen funktionensysteme. Math. Ann. 1910, 69(3):331-371.
    • (1910) Math. Ann. , vol.69 , Issue.3 , pp. 331-371
    • Haar, A.1
  • 34
    • 84874530971 scopus 로고    scopus 로고
    • Application of the ARIMA Models in Drought Forecasting Using the Standardized Precipitation Index. Computer and Computing Technologies in Agriculture VI
    • Han, P., Wang, P., Tian, M., Zhang, S., Liu, J., Zhu, D., 2013. Application of the ARIMA Models in Drought Forecasting Using the Standardized Precipitation Index. Computer and Computing Technologies in Agriculture VI, pp. 352-358.
    • (2013) , pp. 352-358
    • Han, P.1    Wang, P.2    Tian, M.3    Zhang, S.4    Liu, J.5    Zhu, D.6
  • 36
    • 0024903928 scopus 로고
    • Continuous and discrete wavelet transforms
    • Heil C.E., Walnut D.F. Continuous and discrete wavelet transforms. SIAM Rev. 1989, 31(4):628-666.
    • (1989) SIAM Rev. , vol.31 , Issue.4 , pp. 628-666
    • Heil, C.E.1    Walnut, D.F.2
  • 37
    • 20844457712 scopus 로고
    • Quantum-theoretical re-interpretation of kinematic and mechanical relations
    • Heisenberg W. Quantum-theoretical re-interpretation of kinematic and mechanical relations. Z. Phys. 1925, 33:879-893.
    • (1925) Z. Phys. , vol.33 , pp. 879-893
    • Heisenberg, W.1
  • 38
    • 11944258430 scopus 로고    scopus 로고
    • To combine or not to combine: selecting among forecasts and their combinations
    • Hibon M., Evgeniou T. To combine or not to combine: selecting among forecasts and their combinations. Int. J. Forecast. 2005, 21(1):15-24.
    • (2005) Int. J. Forecast. , vol.21 , Issue.1 , pp. 15-24
    • Hibon, M.1    Evgeniou, T.2
  • 39
    • 0017505556 scopus 로고
    • Advances in Box-Jenkins modeling: 1. Model construction
    • Hipel K.W., McLeod A.I., Lennox W.C. Advances in Box-Jenkins modeling: 1. Model construction. Water Resour. Res. 1977, 13(3):567-575.
    • (1977) Water Resour. Res. , vol.13 , Issue.3 , pp. 567-575
    • Hipel, K.W.1    McLeod, A.I.2    Lennox, W.C.3
  • 40
    • 84883826476 scopus 로고
    • Forecasting Trends and Seasonals by Exponentially Weighted Moving Averages, O.N.R Memorandum 52, Carnegie Institute of Technology, Pittsburg, PA.
    • Holt, C.C., 1957. Forecasting Trends and Seasonals by Exponentially Weighted Moving Averages, O.N.R Memorandum 52, Carnegie Institute of Technology, Pittsburg, PA.
    • (1957)
    • Holt, C.C.1
  • 41
    • 0021638982 scopus 로고
    • Modelling persistence in hydrological time series using fractional differencing
    • Hosking J.R. Modelling persistence in hydrological time series using fractional differencing. Water Resour. Res. 1984, 20(12):1898-1908.
    • (1984) Water Resour. Res. , vol.20 , Issue.12 , pp. 1898-1908
    • Hosking, J.R.1
  • 42
    • 0018107528 scopus 로고
    • Cubic splines for image interpolation and digital filtering
    • Hou H., Andrews H. Cubic splines for image interpolation and digital filtering. IEEE Trans. Acoust. Speech Signal Process. 1978, 26(6):508-517.
    • (1978) IEEE Trans. Acoust. Speech Signal Process. , vol.26 , Issue.6 , pp. 508-517
    • Hou, H.1    Andrews, H.2
  • 44
    • 54949146599 scopus 로고    scopus 로고
    • A review on Hilbert-Huang transform: method and its applications to geophysical studies
    • Huang N.E., Wu Z. A review on Hilbert-Huang transform: method and its applications to geophysical studies. Rev. Geophys. 2008, 46(2).
    • (2008) Rev. Geophys. , vol.46 , Issue.2
    • Huang, N.E.1    Wu, Z.2
  • 46
    • 33746832391 scopus 로고    scopus 로고
    • Adaptive neural-based fuzzy inference system (ANFIS) approach for modelling hydrological time series
    • Keskin M.E., Taylan D., Terzi O. Adaptive neural-based fuzzy inference system (ANFIS) approach for modelling hydrological time series. Hydrol. Sci. J. 2006, 51(4):588-598.
    • (2006) Hydrol. Sci. J. , vol.51 , Issue.4 , pp. 588-598
    • Keskin, M.E.1    Taylan, D.2    Terzi, O.3
  • 47
    • 79951579061 scopus 로고    scopus 로고
    • A wavelet-support vector machine conjunction model for monthly streamflow forecasting
    • Kişi Ö., Cimen M. A wavelet-support vector machine conjunction model for monthly streamflow forecasting. J. Hydrol. 2011, 399(1):132-140.
    • (2011) J. Hydrol. , vol.399 , Issue.1 , pp. 132-140
    • Kişi, Ö.1    Cimen, M.2
  • 48
    • 80053449485 scopus 로고    scopus 로고
    • Precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models
    • Kişi Ö., Shiri J. Precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models. Water Resour. Manage. 2011, 25(13):3135-3152.
    • (2011) Water Resour. Manage. , vol.25 , Issue.13 , pp. 3135-3152
    • Kişi, Ö.1    Shiri, J.2
  • 49
    • 0027803406 scopus 로고
    • A multicomponent decomposition of spatial rainfall fields. 1. Segregation of large- and small-scale features using wavelet transforms
    • Kumar P., Foufoula-Georgiou E. A multicomponent decomposition of spatial rainfall fields. 1. Segregation of large- and small-scale features using wavelet transforms. Water Resour. Res. 1993, 29(8):2515-2532.
    • (1993) Water Resour. Res. , vol.29 , Issue.8 , pp. 2515-2532
    • Kumar, P.1    Foufoula-Georgiou, E.2
  • 50
    • 34247480179 scopus 로고
    • Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root?
    • Kwiatkowski D., Phillips P.C., Schmidt P., Shin Y. Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root?. J. Econom. 1992, 54(1):159-178.
    • (1992) J. Econom. , vol.54 , Issue.1 , pp. 159-178
    • Kwiatkowski, D.1    Phillips, P.C.2    Schmidt, P.3    Shin, Y.4
  • 51
    • 28444499418 scopus 로고    scopus 로고
    • Recent advances in wavelet analyses: Part 1. A review of concepts
    • Labat D. Recent advances in wavelet analyses: Part 1. A review of concepts. J. Hydrol. 2005, 314(1):275-288.
    • (2005) J. Hydrol. , vol.314 , Issue.1 , pp. 275-288
    • Labat, D.1
  • 52
    • 84863143586 scopus 로고    scopus 로고
    • Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition
    • Lee T., Ouarda T.B.M.J. Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition. Water Resour. Res. 2012, 48(2).
    • (2012) Water Resour. Res. , vol.48 , Issue.2
    • Lee, T.1    Ouarda, T.B.M.J.2
  • 53
    • 33746830757 scopus 로고    scopus 로고
    • Using support vector machines for long-term discharge prediction
    • Lin J.Y., Cheng C.T., Chau K.W. Using support vector machines for long-term discharge prediction. Hydrol. Sci. J. 2006, 51(4):599-612.
    • (2006) Hydrol. Sci. J. , vol.51 , Issue.4 , pp. 599-612
    • Lin, J.Y.1    Cheng, C.T.2    Chau, K.W.3
  • 55
    • 84883780143 scopus 로고
    • Introduction to "The Smoothing of Time Series". The Smoothing of Time Series. NBER
    • Macaulay, F.R., 1931. Introduction to "The Smoothing of Time Series". The Smoothing of Time Series. NBER, pp. 17-30.
    • (1931) , pp. 17-30
    • Macaulay, F.R.1
  • 56
    • 85085408935 scopus 로고    scopus 로고
    • Empirical mode decomposition based frequency attributes. In: Proc. SEG Meeting. Houston, Texas, USA.
    • Magrin-Chagnolleau, I., Baraniuk, R.G., 1999. Empirical mode decomposition based frequency attributes. In: Proc. SEG Meeting. Houston, Texas, USA.
    • (1999)
    • Magrin-Chagnolleau, I.1    Baraniuk, R.G.2
  • 57
    • 0003119860 scopus 로고
    • Accuracy of forecasting: an empirical investigation (with discussion)
    • Makridakis S., Hibon M. Accuracy of forecasting: an empirical investigation (with discussion). J. Roy. Stat. Soc. A 1979, 142:97-145.
    • (1979) J. Roy. Stat. Soc. A , vol.142 , pp. 97-145
    • Makridakis, S.1    Hibon, M.2
  • 58
    • 0023532234 scopus 로고
    • A compact multiresolution representation: the wavelet model. In: Proc. IEEE Workshop Computer Civion, Miami, FL.
    • Mallat, S., 1987. A compact multiresolution representation: the wavelet model. In: Proc. IEEE Workshop Computer Civion, Miami, FL.
    • (1987)
    • Mallat, S.1
  • 59
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: the wavelet representation
    • Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intel. 1989, 11(7):674-693.
    • (1989) IEEE Trans. Pattern Anal. Mach. Intel. , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 60
    • 0024904699 scopus 로고
    • Multifrequency channel decompositions of images and wavelet models
    • Mallat S.G. Multifrequency channel decompositions of images and wavelet models. IEEE Trans. Acoust. Speech Signal Process. 1989, 37(12):2091-2110.
    • (1989) IEEE Trans. Acoust. Speech Signal Process. , vol.37 , Issue.12 , pp. 2091-2110
    • Mallat, S.G.1
  • 61
    • 84966210236 scopus 로고
    • Multiresolution approximations and wavelet orthonormal bases of L2 (R)
    • Mallat, S.G., 1989c. Multiresolution approximations and wavelet orthonormal bases of L2 (R). Trans. Am. Math. Soc. 315(1).
    • (1989) Trans. Am. Math. Soc. , vol.315 , Issue.1
    • Mallat, S.G.1
  • 62
    • 67651115638 scopus 로고    scopus 로고
    • Vegetation dynamics from NDVI time series analysis using the wavelet transform
    • Martínez B., Gilabert M.A. Vegetation dynamics from NDVI time series analysis using the wavelet transform. Remote Sens. Environ. 2009, 113(9):1823-1842.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.9 , pp. 1823-1842
    • Martínez, B.1    Gilabert, M.A.2
  • 63
    • 0017504140 scopus 로고
    • Advances in Box-Jenkins modeling: 2. Applications
    • McLeod A.I., Hipel K.W., Lennox W.C. Advances in Box-Jenkins modeling: 2. Applications. Water Resour. Res. 1977, 13(3):577-586.
    • (1977) Water Resour. Res. , vol.13 , Issue.3 , pp. 577-586
    • McLeod, A.I.1    Hipel, K.W.2    Lennox, W.C.3
  • 64
    • 65349112009 scopus 로고    scopus 로고
    • A new approach to stochastically generating six-monthly rainfall sequences based on empirical mode decomposition
    • McMahon T.A., Kiem A.S., Peel M.C., Jordan P.W., Pegram G.G. A new approach to stochastically generating six-monthly rainfall sequences based on empirical mode decomposition. J. Hydrometeorol. 2008, 9(6):1377-1389.
    • (2008) J. Hydrometeorol. , vol.9 , Issue.6 , pp. 1377-1389
    • McMahon, T.A.1    Kiem, A.S.2    Peel, M.C.3    Jordan, P.W.4    Pegram, G.G.5
  • 65
    • 84883762651 scopus 로고
    • Principle d'incertitude, bases Hilbertiennes et algebres d'operateurs. Seminare Bourbaki
    • Meyer, Y., 1985. Principle d'incertitude, bases Hilbertiennes et algebres d'operateurs. Seminare Bourbaki, pp. 662.
    • (1985) , pp. 662
    • Meyer, Y.1
  • 68
    • 33750442194 scopus 로고    scopus 로고
    • Parameter estimation of an ARMA model for river flow forecasting using goal programming
    • Mohammadi K., Eslami H.R., Kahawita R. Parameter estimation of an ARMA model for river flow forecasting using goal programming. J. Hydrol. 2006, 331(1):293-299.
    • (2006) J. Hydrol. , vol.331 , Issue.1 , pp. 293-299
    • Mohammadi, K.1    Eslami, H.R.2    Kahawita, R.3
  • 69
    • 0019895729 scopus 로고
    • Wave propagation and sampling theory, Part II
    • Morlet J., Arens G., Fourgeau E., Giard D. Wave propagation and sampling theory, Part II. Geophysics 1982, 47:222-236.
    • (1982) Geophysics , vol.47 , pp. 222-236
    • Morlet, J.1    Arens, G.2    Fourgeau, E.3    Giard, D.4
  • 70
    • 84947407492 scopus 로고
    • Optimal properties of exponentially weighted forecasts
    • Muth J.F. Optimal properties of exponentially weighted forecasts. J. Am. Stat. Assoc. 1960, 55(290):299-306.
    • (1960) J. Am. Stat. Assoc. , vol.55 , Issue.290 , pp. 299-306
    • Muth, J.F.1
  • 71
    • 80051585160 scopus 로고    scopus 로고
    • Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: an empirical examination
    • Napolitano G., Serinaldi F., See L. Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: an empirical examination. J. Hydrol. 2011, 406(3):199-214.
    • (2011) J. Hydrol. , vol.406 , Issue.3 , pp. 199-214
    • Napolitano, G.1    Serinaldi, F.2    See, L.3
  • 73
    • 70350337875 scopus 로고    scopus 로고
    • A multivariate ANN-wavelet approach for rainfall-runoff modelling
    • Nourani V., Komasi M., Mano A. A multivariate ANN-wavelet approach for rainfall-runoff modelling. Water Resour. Manage 2009, 23(14):2877-2894.
    • (2009) Water Resour. Manage , vol.23 , Issue.14 , pp. 2877-2894
    • Nourani, V.1    Komasi, M.2    Mano, A.3
  • 74
    • 84883800302 scopus 로고    scopus 로고
    • Wavelet cross-correlation to investigate regional variations in cerebral oxygenation in infants supported on extracorporeal membrane oxygenation
    • Papademetriou M., Tachtsidis I., Elliott M.J., Hoskote A., Elwell C.E. Wavelet cross-correlation to investigate regional variations in cerebral oxygenation in infants supported on extracorporeal membrane oxygenation. Oxygen Transport to Tissue 2013, 34:203-209.
    • (2013) Oxygen Transport to Tissue , vol.34 , pp. 203-209
    • Papademetriou, M.1    Tachtsidis, I.2    Elliott, M.J.3    Hoskote, A.4    Elwell, C.E.5
  • 75
    • 34447527322 scopus 로고    scopus 로고
    • Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
    • Partal T., Kişi Ö. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting. J. Hydrol. 2007, 342(1):199-212.
    • (2007) J. Hydrol. , vol.342 , Issue.1 , pp. 199-212
    • Partal, T.1    Kişi, Ö.2
  • 76
    • 0000278558 scopus 로고
    • Exponential forecasting: some new variations
    • Pegels C.C. Exponential forecasting: some new variations. Manage. Sci. 1969, 12:311-315.
    • (1969) Manage. Sci. , vol.12 , pp. 311-315
    • Pegels, C.C.1
  • 78
    • 38349082292 scopus 로고    scopus 로고
    • A coupled model tree-genetic algorithm scheme for flow and water quality predictions in watersheds
    • Preis A., Ostfeld A. A coupled model tree-genetic algorithm scheme for flow and water quality predictions in watersheds. J. Hydrol. 2008, 349(3):364-375.
    • (2008) J. Hydrol. , vol.349 , Issue.3 , pp. 364-375
    • Preis, A.1    Ostfeld, A.2
  • 79
    • 67650305156 scopus 로고    scopus 로고
    • A high resolution daily gridded rainfall data set (1971-2005) for mesoscale meteorological studies
    • Rajeevan M., Bhate J. A high resolution daily gridded rainfall data set (1971-2005) for mesoscale meteorological studies. Curr. Sci. 2009, 96(4):558-562.
    • (2009) Curr. Sci. , vol.96 , Issue.4 , pp. 558-562
    • Rajeevan, M.1    Bhate, J.2
  • 80
    • 84883745012 scopus 로고    scopus 로고
    • Wavelet Transforms: Introduction to Theory and Applications, vol. 20. Addison-Wesley Longman, Inc.
    • Rao, R.M., Bopardikar, A.S., 1998. Wavelet Transforms: Introduction to Theory and Applications, vol. 20. Addison-Wesley Longman, Inc., pp. 604-618.
    • (1998) , pp. 604-618
    • Rao, R.M.1    Bopardikar, A.S.2
  • 81
    • 1642457413 scopus 로고    scopus 로고
    • On empirical mode decomposition and its algorithms. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP
    • Rilling, G., Flandrin, P., Gonçalvés, P., 2003. On empirical mode decomposition and its algorithms. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP, vol. 3, pp. 8-11.
    • (2003) , vol.3 , pp. 8-11
    • Rilling, G.1    Flandrin, P.2    Gonçalvés, P.3
  • 82
    • 0018015137 scopus 로고
    • Modelling by shortest data description
    • Rissanen J. Modelling by shortest data description. Automatica 1978, 14(5):465-471.
    • (1978) Automatica , vol.14 , Issue.5 , pp. 465-471
    • Rissanen, J.1
  • 84
    • 84871115737 scopus 로고    scopus 로고
    • A review on the applications of wavelet transform in hydrology time series analysis
    • Sang Y.F. A review on the applications of wavelet transform in hydrology time series analysis. Atmos. Res. 2012, 122:8-15.
    • (2012) Atmos. Res. , vol.122 , pp. 8-15
    • Sang, Y.F.1
  • 85
    • 77956397062 scopus 로고    scopus 로고
    • Entropy-based method of choosing the decomposition level in wavelet threshold de-noising
    • Sang Y.F., Wang D., Wu J.C. Entropy-based method of choosing the decomposition level in wavelet threshold de-noising. Entropy 2010, 12(6):1499-1513.
    • (2010) Entropy , vol.12 , Issue.6 , pp. 1499-1513
    • Sang, Y.F.1    Wang, D.2    Wu, J.C.3
  • 86
    • 84879887179 scopus 로고    scopus 로고
    • Discrete wavelet-based trend identification in hydrologic time series
    • Sang Y.F., Wang Z., Liu C. Discrete wavelet-based trend identification in hydrologic time series. Hydrol. Process. 2012, 10.1002/hyp.9356.
    • (2012) Hydrol. Process.
    • Sang, Y.F.1    Wang, Z.2    Liu, C.3
  • 87
    • 84862804163 scopus 로고    scopus 로고
    • Period identification in hydrologic time series using empirical mode decomposition and maximum entropy spectral analysis
    • Sang Y.F., Wang Z., Liu C. Period identification in hydrologic time series using empirical mode decomposition and maximum entropy spectral analysis. J. Hydrol. 2012, 424:154-164.
    • (2012) J. Hydrol. , vol.424 , pp. 154-164
    • Sang, Y.F.1    Wang, Z.2    Liu, C.3
  • 88
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model. Ann. Stat. 1978, 6(2):461-464.
    • (1978) Ann. Stat. , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.1
  • 89
    • 9744257850 scopus 로고    scopus 로고
    • A small sample model selection criterion based on Kullback's symmetric divergence
    • Seghouane A.K., Bekara M. A small sample model selection criterion based on Kullback's symmetric divergence. IEEE Trans. Signal Process. 2004, 52(12):3314-3323.
    • (2004) IEEE Trans. Signal Process. , vol.52 , Issue.12 , pp. 3314-3323
    • Seghouane, A.K.1    Bekara, M.2
  • 90
    • 84883814659 scopus 로고
    • Asymptotically efficient selection of the order of the model for estimating parameters of a linear process. Ann. Stat.
    • Shibata, R., 1980. Asymptotically efficient selection of the order of the model for estimating parameters of a linear process. Ann. Stat. 147-164.
    • (1980) , pp. 147-164
    • Shibata, R.1
  • 91
    • 0029288417 scopus 로고
    • Synthesizing missing streamflow records on several Manitoba streams using multiple nonlinear standardized correlation analysis
    • Simonovic S.P. Synthesizing missing streamflow records on several Manitoba streams using multiple nonlinear standardized correlation analysis. Hydrol. Sci. J. 1995, 40(2):183-203.
    • (1995) Hydrol. Sci. J. , vol.40 , Issue.2 , pp. 183-203
    • Simonovic, S.P.1
  • 92
    • 84883800997 scopus 로고
    • Hydro-Climatic Data Network (HCDN) Streamflow Data Set: US Geological Survey Water-Resources Investigations Report. CD-ROM Disk, 93-4076.
    • Slack, J.R., Landwehr, J.M., 1994. Hydro-Climatic Data Network (HCDN) Streamflow Data Set: US Geological Survey Water-Resources Investigations Report. CD-ROM Disk, 93-4076.
    • (1994)
    • Slack, J.R.1    Landwehr, J.M.2
  • 94
    • 0022266426 scopus 로고
    • Multisite ARMA (1,1) and disaggregation models for annual streamflow generation
    • Stedinger J.R., Lettenmaier D.P., Vogel R.M. Multisite ARMA (1,1) and disaggregation models for annual streamflow generation. Water Resour. Res. 1985, 21(4):497-509.
    • (1985) Water Resour. Res. , vol.21 , Issue.4 , pp. 497-509
    • Stedinger, J.R.1    Lettenmaier, D.P.2    Vogel, R.M.3
  • 95
    • 0021547621 scopus 로고
    • Disaggregation procedures for generating serially correlated flow vectors
    • Stedinger J.R., Vogel R.M. Disaggregation procedures for generating serially correlated flow vectors. Water Resour. Res. 1984, 20(1):47-56.
    • (1984) Water Resour. Res. , vol.20 , Issue.1 , pp. 47-56
    • Stedinger, J.R.1    Vogel, R.M.2
  • 97
    • 80052210505 scopus 로고    scopus 로고
    • Wavelet analysis of δ18O time series of monthly precipitation. Int. Conf. Remote Sens. Environ. Transport. Eng. (RSETE)
    • Tan, Z., Lu, B., Sun, Y., Sun, Y., Huang, S., 2011. Wavelet analysis of δ18O time series of monthly precipitation. Int. Conf. Remote Sens. Environ. Transport. Eng. (RSETE), 8731-8734.
    • (2011) , pp. 8731-8734
    • Tan, Z.1    Lu, B.2    Sun, Y.3    Sun, Y.4    Huang, S.5
  • 98
    • 0027680634 scopus 로고
    • Flexible design of multidimensional perfect reconstruction FIR 2-band filters using transformations of variables
    • Tay D.B., Kingsbury N.G. Flexible design of multidimensional perfect reconstruction FIR 2-band filters using transformations of variables. IEEE Trans. Image Process. 1993, 2(4):466-480.
    • (1993) IEEE Trans. Image Process. , vol.2 , Issue.4 , pp. 466-480
    • Tay, D.B.1    Kingsbury, N.G.2
  • 99
    • 0029756460 scopus 로고    scopus 로고
    • Application of the decomposition technique for forecasting the load of a large electric power network
    • Temraz H.K., Salama M.M.A., Quintana V.H. Application of the decomposition technique for forecasting the load of a large electric power network. IEE Proc. Gener. Transm. Distrib. 1996, 143(1):13-18.
    • (1996) IEE Proc. Gener. Transm. Distrib. , vol.143 , Issue.1 , pp. 13-18
    • Temraz, H.K.1    Salama, M.M.A.2    Quintana, V.H.3
  • 100
    • 0034694775 scopus 로고    scopus 로고
    • Comparison of short-term rainfall prediction models for real-time flood forecasting
    • Toth E., Brath A., Montanari A. Comparison of short-term rainfall prediction models for real-time flood forecasting. J. Hydrol. 2000, 239(1):132-147.
    • (2000) J. Hydrol. , vol.239 , Issue.1 , pp. 132-147
    • Toth, E.1    Brath, A.2    Montanari, A.3
  • 101
    • 0028384566 scopus 로고
    • The recursive pyramid algorithm for the discrete wavelet transform
    • Vishwanath M. The recursive pyramid algorithm for the discrete wavelet transform. IEEE Trans. Signal Process. 1994, 42(3):673-676.
    • (1994) IEEE Trans. Signal Process. , vol.42 , Issue.3 , pp. 673-676
    • Vishwanath, M.1
  • 102
    • 84945561354 scopus 로고    scopus 로고
    • ARMA model selection using particle swarm optimization and AIC criteria. In: Proc. 15th IFAC World Congress on Automatic Control.
    • Voss, M.S., Feng, X., 2002. ARMA model selection using particle swarm optimization and AIC criteria. In: Proc. 15th IFAC World Congress on Automatic Control.
    • (2002)
    • Voss, M.S.1    Feng, X.2
  • 103
    • 84883778687 scopus 로고    scopus 로고
    • Neural networks and wavelet de-noising for stock trading and prediction
    • Wang L., Gupta S. Neural networks and wavelet de-noising for stock trading and prediction. Time Ser. Anal. Modell. Appl. ISRL 2013, 47:229-247.
    • (2013) Time Ser. Anal. Modell. Appl. ISRL , vol.47 , pp. 229-247
    • Wang, L.1    Gupta, S.2
  • 104
    • 33845543385 scopus 로고    scopus 로고
    • Wavelet network model and its application to the prediction of hydrology
    • Wang W., Ding J. Wavelet network model and its application to the prediction of hydrology. Nat. Sci. 2003, 1(1):67-71.
    • (2003) Nat. Sci. , vol.1 , Issue.1 , pp. 67-71
    • Wang, W.1    Ding, J.2
  • 105
    • 84874761795 scopus 로고    scopus 로고
    • A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows
    • Wei, S., Yang, H., Song, J., Abbaspour, K., Xu, Z., 2013. A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows. Hydrol. Sci. J., 1-16.
    • (2013) Hydrol. Sci. J. , pp. 1-16
    • Wei, S.1    Yang, H.2    Song, J.3    Abbaspour, K.4    Xu, Z.5
  • 106
    • 0001090334 scopus 로고
    • Wavelets, period doubling, and time-frequency localization with application to organization of convection over the tropical western Pacific
    • Weng H., Lau K.M. Wavelets, period doubling, and time-frequency localization with application to organization of convection over the tropical western Pacific. J. Atmos. Sci. 1994, 51:2523-2541.
    • (1994) J. Atmos. Sci. , vol.51 , pp. 2523-2541
    • Weng, H.1    Lau, K.M.2
  • 108
    • 0000082693 scopus 로고
    • Forecasting sales by exponentially weighted moving averages
    • Winters P.R. Forecasting sales by exponentially weighted moving averages. Manage. Sci. 1960, 6(3):324-342.
    • (1960) Manage. Sci. , vol.6 , Issue.3 , pp. 324-342
    • Winters, P.R.1
  • 109
    • 17144438565 scopus 로고    scopus 로고
    • Changes in stream nitrate concentrations due to land management practices, ecological succession, and climate: developing a systems approach to integrated catchment response
    • Worrall F., Swank W.T., Burt T.P. Changes in stream nitrate concentrations due to land management practices, ecological succession, and climate: developing a systems approach to integrated catchment response. Water Resour. Res. 2003, 39(7):1177.
    • (2003) Water Resour. Res. , vol.39 , Issue.7 , pp. 1177
    • Worrall, F.1    Swank, W.T.2    Burt, T.P.3
  • 110
    • 50949095860 scopus 로고    scopus 로고
    • The application of wavelet analysis in hydrological sequence trend analysis. In: The 2nd Int. Conf. Bioinformatics and Biomedical Engineering. ICBBE
    • Xiao-jie, X., Si-xia, H., Qiang, H., Yan, L., 2008. The application of wavelet analysis in hydrological sequence trend analysis. In: The 2nd Int. Conf. Bioinformatics and Biomedical Engineering. ICBBE, pp. 3495-3498.
    • (2008) , pp. 3495-3498
    • Xiao-jie, X.1    Si-xia, H.2    Qiang, H.3    Yan, L.4
  • 112
    • 84873804988 scopus 로고    scopus 로고
    • Reducer vibration de-noising signal research based on wavelet transform
    • Yu G.B., Huang L., Dai B., Wu X.M., Ma W.S. Reducer vibration de-noising signal research based on wavelet transform. Appl. Mech. Mater. 2013, 274:225-228.
    • (2013) Appl. Mech. Mater. , vol.274 , pp. 225-228
    • Yu, G.B.1    Huang, L.2    Dai, B.3    Wu, X.M.4    Ma, W.S.5
  • 114
    • 38149027113 scopus 로고    scopus 로고
    • The research of monthly discharge predictor-corrector model based on wavelet decomposition
    • Zhou H.C., Peng Y., Liang G.H. The research of monthly discharge predictor-corrector model based on wavelet decomposition. Water Resour. Manage. 2008, 22(2):217-227.
    • (2008) Water Resour. Manage. , vol.22 , Issue.2 , pp. 217-227
    • Zhou, H.C.1    Peng, Y.2    Liang, G.H.3
  • 115
    • 0742271676 scopus 로고    scopus 로고
    • Combining time series models for forecasting
    • Zou H., Yang Y. Combining time series models for forecasting. Int. J. Forecast. 2004, 20(1):69-84.
    • (2004) Int. J. Forecast. , vol.20 , Issue.1 , pp. 69-84
    • Zou, H.1    Yang, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.