Parametric and nonparametric frequency analysis of monthly precipitation in Iran

Journal of Applied Sciences

Volumn 8, Issue 18, 2008, Pages 3242-3248

  Jou, P Haghighat ^a   Akhoond Ali, A M ^a   Behnia, A ^a   Chinipardaz, R ^a  

^a SHAHID CHAMRAN UNIVERSITY OF AHVAZ   (Iran)

Author keywords

Kernel function; Monthly precipitation; Parametric and nonparametric methods

Indexed keywords

EXTREME-VALUE TYPE I; GOODNESS-OF-FIT TEST; KERNEL FUNCTION; NONPARAMETRIC APPROACHES; NONPARAMETRIC FREQUENCIES; NONPARAMETRIC METHODS; PRECIPITATION DATA; SMOOTHING PARAMETER;

PRECIPITATION (METEOROLOGY);

LEAST SQUARES APPROXIMATIONS;

EID: 67649780441     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2008.3242.3248     Document Type: Article

References (19)

1. Adamowski, K., 1989. A monte carlo comparison of parametric and nonparametric estimation of flood frequencies. J. Hydrol., 108: 295-308.
2. Adamowski, K., 1996. Nonparametric estimation of low-flow frequencies. J. Hydraulic Eng., 122: 46-50.
3. Adamowski, K., 2000. Regional analysis of annual maximum and partial duration flood data by nonparametric and L-moment methods. J. Hydrol., 229: 219-231.
4. Behnia, A.K. and P. Haghighat Jou, 2007. Estimating Karoun annual flood probabilities using Fourier series method. Proceeding of 7th International River Engineering Conference, Feb. 13-15, Shahid Chamran University, Ahwaz, Iran, pp: 1-7 (In Persian).
5. Bowman, A., 1985. A Comparative study of some Kernel-based nonparametric density estimators. J. Stat. Comput. Simulat., 21: 313-327.
6. Faucher, D., P.F. Rasmussen and B. Bobee, 2002. Nonparametric estimation of quantiles by the kernel method (In French). J. Water Sci., 15: 515-541.
7. Gingras, D. and K. Adamowski, 1992. Coupling of nonparametric frequency and L-moment analyses for mixed distribution identification. J. Am. Water Resourc. Associat., 28: 263-272.
8. Guo, S.L., 1991. Nonparametric variable kernel estimation with historical floods and paleoflood information. Water Resourc. Res., 27: 91-98.
9. Haan, C.T., 1977. Statistical Methods in Hydrology. 1st Edn., Iowa State University Press, Ames. Iowa, ISBN: 0-8138-1510-X, pp: 378.
10. Karmakar, S. and S.P. Simonovic, 2008. Bivariate flood frequency analysis using copula with parametric and nonparametric marginals. 4th International Symposium On Flood Defence: Managing Flood Risk, Reliability and Vulnerability, May 6-8, Toronto, Ontario, Canada, pp: 1-50.
11. Kim, K.D. and J.H. Heo, 2002. Comparative study of flood quantiles estimation by nonparametric models. J. Hydrol., 260: 176-193.
12. Kite, G.W., 1988. Frequency and Risk Analysis in Hydrology. 4th Edn., Water Resources Publications Littleton, Colorado 80161-2841, USA., ISBN: 0918334-64-0, pp: 257.
13. Lall, U., Y.I. Moon and K. Bosworth, 1993. Kernel flood frequency estimators: Bandwidth selection and Kernel choice. Water Resourc. Res., 29: 1003-1016.
14. Moon, Y.I., U. Lall and K. Bosworth, 1993. A comparison of tail probability estimators for flood frequency analysis. J. Hydrol., 151: 343-363.
15. Park, B.U and J.S. Marron, 1990. Comparison of data driven bandwidth selectors. J. Am. Statist. Assoc., 85: 66-72.
16. Rao, A.R. and K.H. Hamed, 1999. Flood Frequency Analysis. 1st Edn., CRC Press, Boca Raton, F1., ISBN-10: 0849300835, pp: 376.
17. Rudemo, M., 1982. Empirical choice of histograms and kernel density estimators. Scandinavian J. Stat., 9: 65-78.
18. Sheater, S.J. and M.C. Jones, 1991. A reliable data-based bandwidth selection method for kernel density estimation. J. Royal Stat. Soc. Series B (Methodological), 53: 683-690.
19. Silverman, B.W., 1986. Density Estimation for Statistics and Data Analysis. 1st Edn., Chapman and Hall, London, ISBN: 0-412-24620-1.