Frequency analysis incorporating a decision support system for hydroclimatic variables

Journal of Hydrologic Engineering

Volumn 15, Issue 11, 2010, Pages 869-881

  Ehsanzadeh, Eghbal ^a   El Adlouni, Salaheddine ^b   Bobée, Bernard ^c  

^a ENVIRONMENT CANADA   (Canada)

^b The National Institute of Statistics and Applied Economics   (Morocco)

^c CENTRE EAU TERRE ENVIRONNEMENT   (Canada)

Author keywords

Climatic changes; Decision support systems; Frequency analysis; Hydrology

Indexed keywords

AKAIKE INFORMATION CRITERION; ANNUAL PRECIPITATION; BAYESIAN INFORMATION CRITERION; CLASS OF DISTRIBUTIONS; CLASS-D; CLIMATIC CHANGES; COMPETING MODELS; DECISION SUPPORTS; EXTREME EVENTS; FREQUENCY ANALYSIS; HEAVY-TAILS; HYDROCLIMATIC; HYDROCLIMATIC VARIABLES; MODEL SELECTION; NATURAL PROCESS; PRECIPITATION DATA; PRECIPITATION SAMPLES; REFERENCE HYDROMETRIC BASIN NETWORKS; RETURN PERIODS; SAMPLE DATA; STATISTICAL CRITERION; SUBEXPONENTIAL DISTRIBUTIONS;

ARTIFICIAL INTELLIGENCE; CLIMATE CHANGE; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; HYDROLOGY; STATISTICAL TESTS; WATER;

MATHEMATICAL MODELS;

BAYESIAN ANALYSIS; CLIMATE CHANGE; DECISION SUPPORT SYSTEM; EXTREME EVENT; FREQUENCY ANALYSIS; GEOSTATISTICS; HYDROLOGICAL RESPONSE; PRECIPITATION (CLIMATOLOGY);

EID: 77957896080     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000261     Document Type: Article

References (34)

1. Akaike H. Stastistical predictor identification. Ann. Statis. Math. 1970, 22:203-217. 10.1007/BF02506337.
2. Akaike H. Canonical correlation analysis of time series and the use of an information criterion. Systems identification 1976, 27-96. R. K. Mehra, D. G. Lainiotie, and eds. Academic, New York.
3. Akaike H. On entropy maximisation principle. Proc Symp. on Applications of Statistics 1977, 27-47. P. R. Krishnaiah, ed Amsterdam, The Netherlands.
4. Almpanidis G. Kotropoulos C. Phonemic segmentation using the generalised Gamma distribution and small sample Bayesian information criterion. Speech Commun. 2008, 50(1):38-55. SCOMDH, 0167-6393, 10.1016/j.specom.2007.06.005, and.
5. Beirlant J. de Wet T. Goegebeur Y. A goodness-of-fit statistic for Pareto-type behavior. J. Comput. Appl. Math. 2006, 186:99-116. JCAMDI, 0377-0427, 10.1016/j.cam.2005.01.036, and.
6. Bobée B. Ashkar F. The Gamma family and derived distributions applied in hydrology 2001, and Water Resources, Littleton, Colo.
7. Cahill A.T. Significance of AIC differences for precipitation intensity distributions. Adv. Water Resour. 2003, 26:457-464. AWREDI, 0309-1708, 10.1016/S0309-1708(02)00167-7.
8. Champernowne D. A model of income distribution. Econom. J. 1953, 63:318-351. ECJOAB, 0013-0133, 10.2307/2227127.
9. Douglas E.M. Vogel R.M. Kroll C.N. Trends in floods and low flows in the United States: Impact of spatial correlation. J. Hydrol. 2000, 240:90-105. JHYDA7, 0022-1694, 10.1016/S0022-1694(00)00336-X, and.
10. Ehsanzadeh E. El Adlouni S. Bobée B. Frequency analysis incorporating a decision support system (DSS). 2009, and Internal Rep Hydro-Quebec, Quebec.
11. El Adlouni S. Bobée B. Ouarda T.B. M. J. On the tails of extreme event distributions in hydrology. J. Hydrol. 2008, 355(1-4):16-33. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2008.02.011, and.
12. Embrechts P. Klüppelberg C. Mikosch T. Modelling extremal events for insurance and finance, applications of mathematics 2003, 33. and Vol. Springer, New York.
13. Hannan E.J. Quinn B.G. The determination of the order of an autoregression. J. R. Stat. Soc. Ser. B (Methodol.) 1979, 41:190-195. JSTBAJ, 0035-9246, and.
14. Harvey K.D. Pilon P.J. Yuzyk T.R. Canada's reference hydrometric basin network (RHBN). Partnerships in water resources management. Proc CWRA 51st Annual Conf. 1999, and Nova Scotia, Canada.
15. Hill B.M. A simple general approach to inference about the tail of a distribution. Ann. Stat. 1975, 3:1163-1174. ASTSC7, 0090-5364, 10.1214/aos/1176343247.
16. 2008, Hyfran-Plus Software, INRS, Quebec, 〈〉 (March 2009).
17. Kendall M.G. Rank correlation methods 1975, Griffin, London.
18. Mandelbrot B. Fractales, Hasard et Finances 1997, Flamarion, Coll. Champs, Paris.
19. Mandelbrot B. Multifractal power law distributions: Negative and critical dimensions and other 'anomalies,' explained by a simple example. J. Stat. Phys. 2003, 110(3-6):739-774. JSTPBS, 0022-4715, 10.1023/A:1022159802564.
20. Mann H.B. Nonparametric tests against trend. Econometrica 1945, 13:245-259. ECMTA7, 0012-9682, 10.2307/1907187.
21. Mann H.B. Whitney D.R. On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Stat. 1947, 18:50-60. AASTAD, 0003-4851, 10.1214/aoms/1177730491, and.
22. Mutua F.M. The use of the Akaike information criterion in the identification of an optimum flood frequency model. Hydrol. Sci. J. 1994, 39:235-244. HSJODN, 0262-6667, 10.1080/02626669409492740.
23. Otomo T. Nakagawa T. Akaike H. Statistical approach to computer control of cement rotary kiln. Automatica 1972, 8:35-48. ATCAA9, 0005-1098, 10.1016/0005-1098(72)90008-8, and.
24. Otsu K. Horigome M. Kitagawa G. On the prediction and stochastic control of ship's motion. Proc 2nd IFAC/IFAP Symp. 1976, M. Pitkin, J. J. Roche, T. J. Williams, and and eds Washington, D.C.
25. Pilon P.J. Kuylenstierna J.K. Pristine river basins and relevant hydrological indices: Essential ingredients for climate-change studies. WMO Bulletin 2000, 49(3):248-255. and.
26. Sakamoto Y. Akaike H. Analysis of cross-classified data by AIC. Ann. Inst. Stat. Math. 1977, 30:1-30. AISXAD, 0020-3157, and B.
27. Salas J.P. Delleur J.W. Yevjevich V. Lane W.L. Applied modeling of hydrology time series 1980, and Water Resources, Fort Collins, Colo.
28. Schwarz G. Estimating the dimension of a model. Ann. Stat. 1978, 6:461-464. ASTSC7, 0090-5364, 10.1214/aos/1176344136.
29. Tanabe K. Statistical regularisation of a noisy ill-conditioned system of linear equations by Akaike information criterion. 1974, Research Memo No.60, The Institute of Statistical Mathematics, Tokyo.
30. Turcotte D.L. Fractals and chaos in geology and geophysics 1997, 2nd Ed Cambridge University Press, Cambridge, MA.
31. Wald A. Wolfowitz J. An exact test for randomness in the nonparametric case based on serial correlation. Ann. Math. Stat. 1943, 14:378-388. AASTAD, 0003-4851, 10.1214/aoms/1177731358, and.
32. Weakliem D. A critique of the Bayesian information criterion for model selection. Sociolog. Methods Res. 1999, 27(3):359-397. ZZZZZZ, 0049-1241, 10.1177/0049124199027003002.
33. Werner T. Upper C. Time variation in the tail behaviour of bund futures returns. 2002, and Working Paper No.199, European Central Bank, Frankfurt, Germany.
34. Wilcoxon F. Individual comparisons by ranking methods. Biometrics 1945, 1:80-83. BIOMB6, 0006-341X, 10.2307/3001968.