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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27848

    Authors: CHEN,YI
    Contributors: 統計研究所
    Keywords: ALTERNATIVES
    Date: 1992
    Issue Date: 2010-06-29 19:34:48 (UTC+8)
    Publisher: 中央大學
    Abstract: This paper is concerned with testing for umbrella alternatives in a k-sample location problem when the underlying populations have possibly different shapes. Following CHEN and WOLFE (1990 b), rank-based modifications of the HETTMANSPERGER-NORTON (1987) tests are considered for both the settings where the peak of the umbrella is known and where it is unknown. The proposed procedures are exactly distribution-free when the continuous populations are identical with any shape. Moreover, the modified test for peak-known umbrella alternatives remains asymptotically distribution-free when the continuous populations are assumed to be symmetric, even if they differ in shapes. Comparative results of a Monte Carlo study are presented.
    Appears in Collections:[統計研究所] 期刊論文

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