Weibull Distribution, Iterative Likelihood Techniques and Hydrometeorological Data
Open Access
- 1 December 1977
- journal article
- Published by American Meteorological Society in Journal of Applied Meteorology
- Vol. 16 (12) , 1360-1364
- https://doi.org/10.1175/1520-0450(1977)016<1360:wdilta>2.0.co;2
Abstract
Rapidly converging maximum likelihood procedures for estimating and testing Weibull distribution parameters are presented, together with numerical examples of their applications. Goodness-of-fit comparisons based on nine sets of meteorological or hydrological data were made among the gamma, lognormal, three-parameter kappa and Weibull distributions. The Weibull distribution is shown to be a reasonable alternative to the other three distributions. Abstract Rapidly converging maximum likelihood procedures for estimating and testing Weibull distribution parameters are presented, together with numerical examples of their applications. Goodness-of-fit comparisons based on nine sets of meteorological or hydrological data were made among the gamma, lognormal, three-parameter kappa and Weibull distributions. The Weibull distribution is shown to be a reasonable alternative to the other three distributions.Keywords
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