Impact of Serial Correlation Misspecification with the Linear Mixed Model
نویسندگان
چکیده
منابع مشابه
Impact of Serial Correlation Misspecification with the Linear Mixed Model
Linear mixed models are popular models for use with clustered and longitudinal data due to their ability to model variation at different levels of clustering. A Monte Carlo study was used to explore the impact of assumption violations on the bias of parameter estimates and the empirical type I error rates. Simulated conditions included in this study are: simulated serial correlation structure, ...
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ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2016
ISSN: 1538-9472
DOI: 10.22237/jmasm/1462076400