首页   按字顺浏览 期刊浏览 卷期浏览 Estimation, large-sample parametric tests and diagnostics for non-exponential family no...
Estimation, large-sample parametric tests and diagnostics for non-exponential family nonlinear models

 

作者: Gauss M. Cordeiro,   Gilberto A. Paula,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1992）
卷期: Volume 21, issue 1  

页码: 149-172

 

ISSN:0361-0918

 

年代: 1992

 

DOI:10.1080/03610919208813012

 

出版商: Marcel Dekker, Inc.

 

关键词: added variable;Bartlett correction;deviance;dispersion parameter;exponential family;GLLM;influence;information matrix;non-exponential model;offset;residual;score statistic;Wald statistic

 

数据来源: Taylor

 

摘要:

We study large sample inference for the non-exponential family non-linear models and show a simple procedure to fit these models in the GLIM regression package. We derive general expressions of three statis-tics (Wald, likelihood ratio and score) for testing a subset of parameters of interest, which may be implemented in GLIM. We review various diag-nostics for generalized linear models and extend to more general models. Some examples of analysis of real data are provided.

 

点击下载:  PDF (885KB)



返 回