Multiple comparison procedures with the average for normal distribution

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 期刊論文 > Item 987654321/20651

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题名:	Multiple comparison procedures with the average for normal distribution
其它题名:	常態分配與平均比較的多重比較程序
作者:	吳淑妃;Wu, Shu-fei;Chen, Hubert J.
贡献者:	淡江大學統計學系
关键词:	Probability requirement;better-than-the-average;Monte-Carlo techniques;Bonferroni inequality
日期:	1998-01-01
上传时间:	2009-11-30 12:55:00 (UTC+8)
出版者:	American Sciences Press
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.
關聯:	American journal of mathematical and management sciences 18(1-2), pp.193-218
DOI:	10.1080/01966324.1998.10737459
显示于类别:	[統計學系暨研究所] 期刊論文

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