Covariate Transformation Diagnostics for Generalized Linear Models

被引：0
|
作者：
Andy H. Lee
John S. Yick
机构：
[1] Northern Territory University,Faculty of Science
来源：
Annals of the Institute of Statistical Mathematics | 1999年 / 51卷
关键词：
Local influence; partial influence; profile likelihood displacement; transformation diagnostics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Transformations of covariates are commonly applied in regression analysis. When a parametric transformation family is used, the maximum likelihood estimate of the transformation parameter is often sensitive to minor perturbations of the data. Diagnostics are derived to assess the influence of observations on the covariate transformation parameter in generalized linear models. Three numerical examples are presented to illustrate the usefulness of the proposed diagnostics.
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页码：383 / 398
页数：15
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