Universal surrogate likelihood functions for nonnegative continuous data

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105931

Title:	Universal surrogate likelihood functions for nonnegative continuous data
Authors:	鄒宗山;Tsou, Tsung-Shan;Yang, Chi-Chuan
Contributors:	理學院統計研究所
Keywords:	Economic Theory/Quantitative Economics/Mathematical Methods;Mathematics and Statistics;Probability Theory and Stochastic Processes;Statistics
Date:	2015-01-01
Issue Date:	2026-04-23 13:01:20 (UTC+8)
Publisher:	Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
Abstract:	摘要： In independent and identically distributed situations, we show that one can properly correct the Poisson and the negative binomial likelihood functions to become asymptotically identical to the profile likelihood function for the mean parameter of nonnegative continuous distributions under mild conditions. We present theoretical justifications and use data analyses to demonstrate the merit of our new robust likelihood method. 其他題名： Metrika 出版者： Berlin/Heidelberg: Springer Berlin Heidelberg 出版日期： 2015-08-01 出處： Metrika, 2015-08, Vol.78 (6), p.635-646 資源來源： Springer Nature - Complete Springer Journals 版權： Springer-Verlag Berlin Heidelberg 2014 識別號： ISSN: 0026-1335 識別號： EISSN: 1435-926X 識別號： DOI: 10.1007/s00184-014-0519-3
Appears in Collections:	[Graduate Institute of Statistics] journal & Dissertation

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