English  |  正體中文  |  简体中文  |  Items with full text/Total items : 63190/95884 (66%)
Visitors : 4627206      Online Users : 391
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/69151

    Title: A Rank Test for equality of Two Multivariate Populations vs a Particular Ordered Alternative
    Authors: Yi-Ju Chen;John Hewett;Yazhen Wang;Jane Johnson
    Contributors: 淡江大學統計學系
    Keywords: Multivariate test;Ordered alternative;Bootstrap estimate;Ranks;Longitudinal studies
    Date: 1998-12
    Issue Date: 2013-06-13 11:28:03 (UTC+8)
    Publisher: Amsterdam: Elsevier BV
    Abstract: A test is presented for testing equality of two multivariate populations versus the alternative that the component wise differences between the two populations are ordered. A bootstrap estimate of the variance of the test statistic is proposed and the limiting distribution of the standardized form of the test statistic is shown to be N(0,1). Methods for conducting two-stage tests and an interim analysis are also presented. The joint null limiting distributions for the two-stage test statistics and the interim analysis test statistics are each shown to be bivariate normal.
    Relation: Computational Statistics and Data Analysis 29(2), pp.129-144
    DOI: 10.1016/S0167-9473(98)00072-3
    Appears in Collections:[統計學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    A Rank Test for equality of Two Multivariate Populations vs a Particular Ordered Alternative.pdf132KbAdobe PDF2View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback