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Properties of maximum likelihood estimates of the ratio of parameters in ordinal response regression models

 

作者: Jeremy M.G. Taylor,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1990）
卷期: Volume 19, issue 2  

页码: 469-480

 

ISSN:0361-0918

 

年代: 1990

 

DOI:10.1080/03610919008812868

 

出版商: Marcel Dekker, Inc.

 

关键词: Link function;Logistic regression;Maximum likelihood;Monte Carlo simulation;Ordinal data;Ratio of parameters

 

数据来源: Taylor

 

摘要:

The properties of a method of estimating the ratio of parameters for ordered categorical response regression models are discussed. If the link function relating the response variable to the linear combination of covariates is unknown then it is only possible to estimate the ratio of regression parameters. This ratio of parameters has a substitutability or relative importance interpretation.

 

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