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Discordant outlier detection in the growth curve model with Rao's simple covariance structure

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  • Pan, Jianxin

Abstract

In this paper, we discuss the detection of multiple discordant outliers in a growth curve model (GCM) with Rao's simple covariance structure. The relationship between the multiple individual deletion model and mean shift regression model is studied. Based on the relationship, we establish a criterion for detecting multiple discordant outliers.

Suggested Citation

  • Pan, Jianxin, 2004. "Discordant outlier detection in the growth curve model with Rao's simple covariance structure," Statistics & Probability Letters, Elsevier, vol. 69(2), pages 135-142, August.
  • Handle: RePEc:eee:stapro:v:69:y:2004:i:2:p:135-142
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    References listed on IDEAS

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    1. von Rosen, Dietrich, 1989. "Maximum likelihood estimators in multivariate linear normal models," Journal of Multivariate Analysis, Elsevier, vol. 31(2), pages 187-200, November.
    2. Jian-Xin Pan & Kai-Tai Fang, 1995. "Multiple outlier detection in growth curve model with unstructured covariance matrix," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 47(1), pages 137-153, January.
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