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Extreme Value Distributions: Theory and Applications
Univariate extreme value distributions generalized extreme value distributions multivariate extreme value distributions.
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The beta exponential distribution
TLDR
We provide a comprehensive treatment of the mathematical properties of the beta exponential distribution generated from the logit of a beta random variable. Expand
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Letter to the editor
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The beta Gumbel distribution
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in engineering. In this paper, we introduce a generalization—referred to as the beta GumbelExpand
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Multivariate T-Distributions and Their Applications
TLDR
Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are collected together in this comprehensive reference. Expand
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The Exponentiated Type Distributions
Gupta et al. [Commun. Stat., Theory Methods 27, 887–904, 1998] introduced the exponentiated exponential distribution as a generalization of the standard exponential distribution. In this paper, weExpand
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A new lifetime distribution
Many if not most lifetime distributions are motivated only by mathematical interest. Here, a new three-parameter distribution motivated mainly by lifetime issues is introduced. Some properties of theExpand
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The Kumaraswamy Weibull distribution with application to failure data
TLDR
For the first time, we introduce and study some mathematical properties of the Kumaraswamy Weibull distribution that is a quite flexible model in analyzing positive data. Expand
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A generalized normal distribution
Abstract Undoubtedly, the normal distribution is the most popular distribution in statistics. In this paper, we introduce a natural generalization of the normal distribution and provide aExpand
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An extension of the exponential distribution
A generalization of the exponential distribution is presented. The generalization always has its mode at zero and yet allows for increasing, decreasing and constant hazard rates. It can be used as anExpand
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