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Methods for generating families of univariate continuous distributions in the recent decades

机译:最近几十年产生单变量连续分布族的方法

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摘要

There has been a renewed interest in developing more flexible statistical distributions in recent decades. A major milestone in the methods for generating statistical distributions is undoubtedly the system of differential equation approach. There is a recent renewed interest in generating skewed distributions. Generally speaking, themethods developed prior to 1980s may be summarized into three categories: (1) method of differential equation, (2) method of transformation, and (3) quantile method. Techniques developed since 1980s may be categorized as ‘methods of combination’ for the reason that these methods attempt to combine existing distributions into new distributions or adding new parameters to an existing distribution. This article discusses five general methods of combination and their variations. These five are (1)method of generating skew distributions, (2) method of adding parameters (e.g., exponentiation), (3) beta generated method, (4) transformed-transformer method, and (5) composite method.
机译:近几十年来,人们对重新开发更灵活的统计分布有了新的兴趣。产生统计分布的方法中的一个重要里程碑无疑是微分方程方法系统。最近,人们对产生偏态分布产生了新的兴趣。一般而言,1980年代以前开发的方法可以归纳为三类:(1)微分方程方法,(2)变换方法和(3)分位数方法。自1980年代以来开发的技术可能被归类为“组合方法”,原因是这些方法试图将现有发行版合并为新发行版或为现有发行版添加新参数。本文讨论了五种常规的组合方法及其变体。这五个是(1)生成偏斜分布的方法,(2)添加参数(例如,求幂)的方法,(3)beta生成方法,(4)变换变压器方法和(5)复合方法。

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