Unifying the Named Natural Exponential Families and Their Relatives

被引:15
作者
Morris, Carl N. [1 ]
Lock, Kari F. [1 ]
机构
[1] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA
关键词
Binomial; Gamma; Normal; Pearson family; Poisson; Quadratic variance function; CONJUGATE PRIORS; VARIANCE;
D O I
10.1198/tast.2009.08145
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Five of the six univariate natural exponential families (NEFs) with quadratic variance functions (QVFs), meaning that their variances are at most quadratic functions of their means, are the Normal, Poisson, Gamma, Binomial, and Negative Binomial distributions. The sixth is the NEF-CHS, the NEF generated from convolved Hyperbolic Secant distributions. These six NEF-QVFs and their relatives are unified in this article and in the main diagram via arrows that connect NEFs with many other named distributions. Relatives include all of Pearson's families of conjugate distributions (e.g., Inverted Gamma, Beta, F, and Skewed-t), conjugate mixtures (including two Polya urn schemes), and conditional distributions (including Hypergeometrics and Negative Hypergeometrics). Limit laws that also relate these distributions are indicated by solid arrows in Figure 1.
引用
收藏
页码:247 / 253
页数:7
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