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    題名: Multiple comparison procedures with the average for normal distribution
    其他題名: 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.
    貢獻者: 淡江大學統計學系
    關鍵詞: Probability requirement;better-than-the-average;Monte-Carlo techniques;Bonferroni inequality
    日期: 1998-01-01
    上傳時間: 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
    顯示於類別:[統計學系暨研究所] 期刊論文

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