Robust influence diagnostics for generalized linear models with continuous responses

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105889

Title:	Robust influence diagnostics for generalized linear models with continuous responses
Authors:	鄒宗山;Chien, Li-Chu;Tsou, Tsung-Shan
Contributors:	理學院統計研究所
Keywords:	Diagnostics;generalized linear model;Generalized linear models;influential observation;robust influence diagnostic method;robust normal regression;Statistical methods;Studies
Date:	2014-01-01
Issue Date:	2026-04-23 12:59:41 (UTC+8)
Publisher:	Wiley-Blackwell Publishing Ltd;Oxford: Blackwell Publishing Ltd
Abstract:	摘要： This article introduces two parametric robust diagnostic methods for detecting influential observations in the setting of generalized linear models with continuous responses. The legitimacy of the two proposed methods requires no knowledge of the true underlying distributions so long as their second moments exist. The performance of the two proposed influence diagnostic tools is investigated through limited simulation studies and the analyses of an illustration. 其他題名： Statistica Neerlandica 出版者： Oxford: Blackwell Publishing Ltd 出版日期： 2014-11 出處： Statistica Neerlandica, 2014-11, Vol.68 (4), p.324-343 資源來源： Wiley Online Journals ** 版權： 2014 The Authors. Statistica Neerlandica © 2014 VVS. 識別號： ISSN: 0039-0402 識別號： EISSN: 1467-9574 識別號： DOI: 10.1111/stan.12044
Appears in Collections:	[Graduate Institute of Statistics] journal & Dissertation

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