Proportional likelihood ratio models for mean regression

Huang, Alan and Rathouz, Paul J. (2012) Proportional likelihood ratio models for mean regression. Biometrika, 99 223-229. doi:10.1093/biomet/asr075


Author Huang, Alan
Rathouz, Paul J.
Title Proportional likelihood ratio models for mean regression
Journal name Biometrika   Check publisher's open access policy
ISSN 0006-3444
1464-3510
Publication date 2012-01-01
Sub-type Article (original research)
DOI 10.1093/biomet/asr075
Volume 99
Start page 223
End page 229
Total pages 7
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Abstract The proportional likelihood ratio model introduced in Luo & Tsai (2012) is adapted to explicitly model the means of observations. This is useful for the estimation of and inference on treatment effects, particularly in designed experiments and allows the data analyst greater control over model specification and parameter interpretation.
Keyword Empirical likelihood
Exponential tilting
Generalized linear model
Multi-way layout
Proportional likelihood ratio model
Quasilikelihood
Semiparametric model
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
 
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Created: Thu, 27 Mar 2014, 00:19:28 EST by Kay Mackie on behalf of School of Mathematics & Physics