期刊論文

學年 86
學期 1
出版(發表)日期 1998-01-01
作品名稱 Multiple comparison procedures with the average for normal distribution
作品名稱(其他語言) 常態分配與平均比較的多重比較程序
著者 吳淑妃; Wu, Shu-fei; Chen, Hubert J.
單位 淡江大學統計學系
出版者 American Sciences Press
著錄名稱、卷期、頁數 American journal of mathematical and management sciences 18(1-2), pp.193-218
摘要 In this article we propose some multiple comparison procedures with the average. Simultaneous confidence intervals are considered for normal distributions with common known or unknown variances. These procedures can be used to identify better-than-the-average, worse-than-the-average and not-much-different-from-the-average products in agriculture, stock market, medical research, and auto models. The percentage points for singular multivariate normal and multivariate t distributions are investigated. Furthermore, the case of normal distributions under heteroscedasticity is also developed. An example is given.
關鍵字 Probability requirement;better-than-the-average;Monte-Carlo techniques;Bonferroni inequality
語言 en_US
ISSN 0196-6324
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度
國別 USA
公開徵稿
出版型式 ,紙本
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