文章基本信息

标题：Using Finite Mixture Modeling to Deal with Systematic Measurement Error: A Case Study
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作者：Liu, Min ; Hancock, Gregory R. ; Harring, Jeffrey R. 等
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2011
卷号：10
期号：1
页码：22
出版社：Wayne State University
摘要：Conventional methods and analyses view measurement error as random. A scenario is presented where a variable was measured with systematic error. Mixture models with systematic parameter constraints were used to test hypotheses in the context of general linear models; this accommodated the heterogeneity arising due to systematic measurement error.
关键词：Finite mixture models; systematic measurement error; general linear model