Multiple comparisons with the average for exponential location parameters based on doubly censored sample under heteroscedasticity
學年 106
學期 2
出版（發表）日期 2018-05-08
作品名稱 Multiple comparisons with the average for exponential location parameters based on doubly censored sample under heteroscedasticity
作品名稱（其他語言）
著者 Shu-Fei Wu
單位
出版者
著錄名稱、卷期、頁數 Communications in Statistics: Simulation and Computation 47(5), p.1529-1539
摘要 In this paper, a one-stage multiple comparison procedures with the average for exponential location parameters based on the doubly censored sample under heteroscedasticity is proposed. These intervals can be used to identify a subset which includes all no-worse-than-the-average treatments in an experimental design and to identify better-than-the-average, worse-than-the-average and not-much-different-from-the-average products in agriculture, emerging market, pharmaceutical industries. The critical values are tabulated in a table for practical use. A simulation study on the confidence length and coverage probabilities is done. At last, an example of comparing four drugs in the treatment of leukemia is given to demonstrate the proposed procedures.
關鍵字 Doubly censored sample;Exponential distribution;Multiple comparisons with the average;One-stage procedure
語言 en
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116851 )

SDGS 優質教育,產業創新與基礎設施