On testing the mean equivalence of treatments from correlated normal populations
學年 102
學期 2
出版（發表）日期 2014-07-02
作品名稱 On testing the mean equivalence of treatments from correlated normal populations
作品名稱（其他語言）
著者 Hubert J. Chen; Shu-Fei Wu; Pei-Chi Shao; Wen-Gine Wang
單位
出版者
著錄名稱、卷期、頁數 Communications in Statistics: Simulation and Computation 45(6), p.2104-2121
摘要 Let there be k equally correlated treatment populations under consideration, a Studentized range test is proposed to test the hypothesis of average mean equivalence against the alternative hypothesis of inequivalence. The maximum level and minimum power at some least favorable configurations of means are used to calculate the critical value and the required sample size simultaneously when testing a null against an alternative hypothesis. The range test is applied to a real world problem to find out if the stress levels among children at four time periods due to a newly built nearby airport are equivalent.
關鍵字 Least favorable configuration (LFC);Level and power;Studentized range test
語言 en_US
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
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115503 )

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