Diagnostics for quasi-likelihood nonlinear models

Tian Xia, Xuejun Jiang and Xueren Wang

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 18, 8836-8851

Abstract: Quasi-likelihood nonlinear models (QLNMs) are an extension of generalized linear model and include a widen class of models as special cases. This article investigates some diagnostic methods in QLNMs. An equivalency between a case-deletion model and a mean-shift outlier model in QLNM is established. Two simulation study and a real dataset are used to illustrate the proposed diagnostic methods.

Date: 2017
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DOI: 10.1080/03610926.2016.1193201

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