ESTIMATING PARAMETERS OF EV1 DISTRIBUTION FOR FLOOD FREQUENCY ANALYSIS1
作者:
Deepak Jam,
Vijay P. Singh,
期刊:
JAWRA Journal of the American Water Resources Association
(WILEY Available online 1987)
卷期:
Volume 23,
issue 1
页码: 59-71
ISSN:1093-474X
年代: 1987
DOI:10.1111/j.1752-1688.1987.tb00784.x
出版商: Blackwell Publishing Ltd
关键词: relative deviations;drainage basin;methods of parameter estimation
数据来源: WILEY
摘要:
ABSTRACT:The parameters of the extreme value type 1 distribution were estimated for 55 annual flood data sets by seven methods. These are the methods of (1) moments, (2) probability weighted moments, (3) mixed moments, (4) maximum likelihood estimation, (5) incomplete means, (6) principle of maximum entropy, and (7) least squares. The method of maximum likelihood estimation was found to be the best and the method of incomplete means the worst. The differences between the methods of principle of maximum entropy, probability weighted moments, moments, and least squares were only minor. The difference between these methods and the method of maximum likelihood was not pronounced.
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