Multiple comparisons with the average for exponential location parameters based on doubly censored sample under heteroscedasticity
出版日期:2018-05-08 00:00:00
著者:Shu-Fei Wu
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
期刊性質:國外
收錄於:SCI
審稿制度:否
國別:USA
出版型式:電子版