English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57042/90725 (63%)
Visitors : 12464292      Online Users : 172
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69179

    Title: Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM
    Authors: Chang, Ching-Hui;Pal, Nabendu;Lim, Wooi Khai;Lin, Jyh-Jiuan
    Contributors: 淡江大學統計學系
    Keywords: Comparing means;Hypothesis testing;Power function;Size
    Date: 2010-01
    Issue Date: 2011-10-23 16:30:55 (UTC+8)
    Publisher: Heidelberg: Physica-Verlag GmbH und Co.
    Abstract: This paper deals with testing the equality of several homoscedastic normal population means. We introduce a newly developed computational approach test (CAT), which is essentially a parametric bootstrap method, and discuss its merits and demerits. In the process of studying the CAT’s usefulness, we compare it with the traditional one-way ANOVA’s F test as well as the analysis of means (ANOM) method. Further, the model robustness of the above three methods have been studied under the ‘t-model’. The motivation behind the proposed CAT is to provide the applied researchers a statistical tool to carry out a comparison of several population means, in a parametric setup, without worrying about the sampling distribution of the inherent test statistic. The CAT can be used to test the equality of several means when the populations are assumed to be heteroscedastic t-distributions.
    Relation: Computational Statistics 25(1), pp.71-95
    DOI: 10.1007/s00180-009-0162-z
    Appears in Collections:[統計學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    Comparing several population means a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM.pdf257KbAdobe PDF0View/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