Bayesian and Classical Analysis of Poisson Regression

G. M. El‐Sayyad
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引用次数: 51

Abstract

SUMMARY This paper is concerned with the problem of testing the existence of a trend in the means Gi of Poisson distributions. It is assumed that these means are changing exponentially, that is, log Gi = ci+/x2. A classical method is reviewed which is used for testing the hypothesis P = 0. The exact Bayesian distribution for P is derived and a Bayesian approximation suggested which proved to be very useful. Finally, a comparison of these three methods by means of numerical examples is made.
贝叶斯和泊松回归的经典分析
本文讨论了泊松分布均值Gi中趋势是否存在的检验问题。假设这些均值呈指数变化,即loggi = ci+/x2。本文回顾了检验假设P = 0的经典方法。得到了P的精确贝叶斯分布,并提出了一个贝叶斯近似,这被证明是非常有用的。最后,通过数值算例对这三种方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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