Advances and Applications in Statistics
Volume 10, Issue 1, Pages 75 - 84
(October 2008)
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A FAMILY OF GENERALIZED BETA DISTRIBUTIONS FOR INCOME
J. H. Sepanski (U. S. A.) and Lingji Kong (U. S. A.)
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Abstract: The
properties of a family of generalized beta distribution, including beta-normal,
skewed-t, log-F, beta-exponential, beta-Weibull distributions
have recently been studied in several publications. This paper applies these
distributions to the modeling of the distribution of income and computes the
maximum likelihood estimates of parameters. Their performances are compared to
the widely used generalized beta distributions of the first and second types in
terms of measures of goodness-of-fit. |
Keywords and phrases: generalized beta
distribution, skewed-t distribution,
log-F distribution, Weibull
distribution. |
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