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Influence analysis on linear models with random effects

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Abstract

In this paper, a unified diagnostic method for linear models with random effects based upon the joint likelihood given by Robinson (in 1991) is presented. The case deletion model is equivalent to mean shift outlier model, as well as case weights model. From this point of view, several new diagnostic measures, such as Cook distance, WK diagnostics are derived. Some previous results are improved. Numerical examples illustrate the method is available.

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Authors and Affiliations

  1. Dept. of Math., Southeast Univ., 210096, Nanjing

    Zhong Xuping & Wei Bocheng

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  1. Zhong Xuping
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  2. Wei Bocheng
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The research supported by NSFC (19631040) and NSFJ.

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Xuping, Z., Bocheng, W. Influence analysis on linear models with random effects. Appl. Math. Chin. Univ. 14, 169–176 (1999). https://doi.org/10.1007/s11766-999-0023-0

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  • DOI: https://doi.org/10.1007/s11766-999-0023-0

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