Diagnostics for quasi-likelihood nonlinear models

التفاصيل البيبلوغرافية
العنوان: Diagnostics for quasi-likelihood nonlinear models
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