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Diagnostics for quasi-likelihood nonlinear models
Authors:Tian Xia  Xuejun Jiang  Xueren Wang
Affiliation:1. School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, China;2. Department of Mathematics, South University of Science and Technology of China, Shenzhen, China;3. Department of Statistics, Yunnan University, Kunming, China
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.
Keywords:Case-deletion models  Cook's distance  Diagnostics  Quasi-likelihood nonlinear models.
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