Diagnostics for quasi-likelihood nonlinear models
العنوان: | Diagnostics for quasi-likelihood nonlinear models |
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المؤلفون: | Xueren Wang, Tian Xia, Xuejun Jiang |
المصدر: | Communications in Statistics - Theory and Methods. 46:8836-8851 |
بيانات النشر: | Informa UK Limited, 2017. |
سنة النشر: | 2017 |
مصطلحات موضوعية: | Statistics and Probability, Generalized linear model, Class (set theory), Diagnostic methods, 05 social sciences, Extension (predicate logic), 01 natural sciences, 010104 statistics & probability, Nonlinear system, Quasi-likelihood, 0502 economics and business, Outlier, Econometrics, Applied mathematics, 0101 mathematics, Cook's distance, 050205 econometrics, Mathematics |
الوصف: | 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. |
تدمد: | 1532-415X 0361-0926 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::079be96c472feebd542ee5dc389bf4d4Test https://doi.org/10.1080/03610926.2016.1193201Test |
رقم الانضمام: | edsair.doi...........079be96c472feebd542ee5dc389bf4d4 |
قاعدة البيانات: | OpenAIRE |