RESTRICTED GENERALIZED POISSON REGRESSION-MODEL

被引：108

作者：

FAMOYE, F ^{[1
]}

机构：

[1] CENT MICHIGAN UNIV,DEPT MATH,MT PLEASANT,MI 48859

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1993年 / 22卷 / 05期

关键词：

OVER-DISPERSION; UNDER-DISPERSION; PARAMETER ESTIMATION; TEST;

D O I：

10.1080/03610929308831089

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：

The family of generalized Poisson distribution has been found useful in describing over-dispersed and under-dispersed count data. We propose the use of restricted generalized Poisson regression model to predict a response variable affected by one or more explanatory variables. Approximate tests for the adequacy of the model and the estimation of the parameters are considered. Restricted generalized Poisson regression model has been applied to an observed data set.

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页码：1335 / 1354

页数：20

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