Title of article :
Influence diagnostics and outlier tests for varying coefficient mixed models
Author/Authors :
Li، نويسنده , , Zaixing and Xu، نويسنده , , Wangli and Zhu، نويسنده , , Lixing، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2009
Abstract :
In this paper, we consider subset deletion diagnostics for fixed effects (coefficient functions), random effects and one variance component in varying coefficient mixed models (VCMMs). Some simple updated formulas are obtained, and based on which, Cook’s distance, joint influence and conditional influence are also investigated. Besides, since mean shift outlier models (MSOMs) are also efficient to detect outliers, we establish an equivalence between deletion models and MSOMs, which is not only suitable for fixed effects but also for random effects, and test statistics for outliers are then constructed. As a byproduct, we obtain the nonparametric “delete = replace” identity. Our influence diagnostics methods are illustrated through a simulated example and a real data set.
Keywords :
Conditional influence , Cook’s Distance , “Delete=Replace” identity , Influence diagnostics , Outlier tests , Joint influence
Journal title :
Journal of Multivariate Analysis
Journal title :
Journal of Multivariate Analysis