Abstract
In this paper, a unified diagnostic method for the nonlinear models with random effects based upon the joint likelihood given by Robinson in 1991 is presented. It is shown that the case deletion model is equivalent to the mean shift outlier model. From this point of view, several diagnostic measures, such as Cook distance, score statistics are derived. The local influence measure of Cook is also presented. A numerical example illustrates that the method is available.
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The research project supported by NSFC (19631040) and NSFJ.
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Bocheng, W., Xuping, Z. Influence analysis in nonlinear models with random effects. Appl. Math.- J. Chin. Univ. 16, 35–44 (2001). https://doi.org/10.1007/s11766-001-0035-x
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DOI: https://doi.org/10.1007/s11766-001-0035-x