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Journal ArticleDOI

Some generalized beta distributions of the second kind having desirable application features in hydrology and meteorology

Paul W. Mielke, +1 more
- 01 Apr 1974 - 
- Vol. 10, Iss: 2, pp 223-226
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TLDR
Two distinct versions of the generalized beta distribution of the second kind are considered in this article, and they compare favorably with the commonly used gamma and log normal distributions in their ability to fit selected sets of accumulated streamflow and precipitation amount data.
Abstract
Two distinct versions of the generalized beta distribution of the second kind are considered. These beta-type distributions compare favorably with the commonly used gamma and log normal distributions in their ability to fit selected sets of accumulated streamflow and precipitation amount data. The comparisons are based on empirical results associated with three different goodness of fit criteria. Since the cumulative distribution functions of these beta-type distributions are in closed form, they possess unique computational advantages over the gamma and log normal distributions.

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Statistical Size Distributions in Economics and Actuarial Sciences

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A Look at the Burr and Related Distributioni

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Changes in Extreme Rainfall Events in South Africa

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How extreme is extreme? An assessment of daily rainfall distribution tails.

TL;DR: In this paper, the authors investigated the distribution tails for daily rainfall by comparing the upper part of empirical distributions of thousands of records with four common the- oretical tails: those of the Pareto, Lognormal, Weibull and Gamma distributions.
References
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Journal ArticleDOI

The Random Division of an Interval

Journal ArticleDOI

Another Family of Distributions for Describing and Analyzing Precipitation Data

TL;DR: A positively skewed two-parameterer family of distributions is introduced in this article as an alternative description of precipitation amounts, each distribution of this family is associated with a simple two-sample non-parametric test which, for large samples, is optimum in detecting scale changes induced by cloud seeding.
Journal ArticleDOI

Use of the gamma distribution in single-cloud rainfall analysis

TL;DR: In this article, the authors used the principle of maximum entropy to define tractable distributions for natural and modified rainfall populations, which is an important prerequisite for the evaluation of seeding effects by Bayesian statistics.