Proportional likelihood ratio models for mean regression

• 成果类型: Article
• 署名作者: Huang, Alan; Rathouz, Paul J.
• 署名单位: University of Chicago; University of Wisconsin System; University of Wisconsin Madison
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asr075
• 发表日期: 2012
• 页码: 223229
• 关键词: empirical likelihood

摘要

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.