期刊論文

標題 A Note on Comparing Several Poisson Means
學年 99
學期 1
出版(發表)日期 2010/08/01
作品名稱 A Note on Comparing Several Poisson Means
作品名稱(其他語言)
著者 Chang, Ching-Hui; Pal, Nabendu; Lin, Jyh-Jiuan
單位 淡江大學統計學系
出版者 Philadelphia: Taylor & Francis Inc.
著錄名稱、卷期、頁數 Communications in Statistics - Simulation and Computation 39(8), pp.1605-1627
摘要 There has been a renewed interest lately in comparing the means (rates) of several Poisson distributions (processes) due to its wide applicability in various fields, especially in life sciences. In this article we first review the recent developments in the literature, and then propose a parametric bootstrap method which performs as good as, if not better than, the existing methods. Results of our comprehensive simulation study have been provided to compare the relevant methods. Finally these methods have been used to four real-life datasets including a most recent one obtained from a clinical trial on the Intrinsa hormone patch developed by Proctor & Gamble.
關鍵字 Clinical trial;Comprehensive simulations;Existing method;Level of significance;Life-sciences;Parametric bootstrap;Poisson mean;Power functions;Real life datasets;Size;Parameter estimation;Poisson distribution;Maximum likelihood estimation
語言 英文
ISSN 0361-0918
期刊性質 國外
收錄於 SSCI;EI;SCI
產學合作
通訊作者 Pal, Nabendu
審稿制度
國別 美國
公開徵稿
出版型式 紙本