摘要翻译：
近年来，一些文献研究了一类广义beta分布的数学性质，包括Beta-正态分布、Beta-指数分布、beta-Weibull分布、Beta-偏T、log-F、Beta-指数分布和beta-Weibull分布。本文将这些分布应用于收入规模分布的建模，并计算了参数的极大似然估计。在拟合优度度量方面，将它们的性能与广泛使用的第一类和第二类广义贝塔分布进行了比较。
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英文标题：
《A Family of Generalized Beta Distributions for Income》
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作者：
J. H. Sepanski, Lingji Kong
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最新提交年份：
2007
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分类信息：

一级分类：Statistics        统计学
二级分类：Methodology        方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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英文摘要：
  The mathematical 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 size distribution of income and computes the maximum likelihood estimation 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.
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PDF链接：
https://arxiv.org/pdf/710.4614