政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/71610
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51619748      Online Users : 555
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/71610


    Title: A family of simultaneous confidence intervals for multinomial proportions
    Authors: Hou, Chia-Ding;Chiang, Jengtung;Tai, John Jen
    江振東
    Contributors: 統計系
    Keywords: Coverage probability;Monte-Carlo method;Power-divergence statistic;Simultaneous confidence intervals;Sparse data
    Date: 2003
    Issue Date: 2014-11-20 18:13:44 (UTC+8)
    Abstract: In this article approximate parametric bootstrap confidence intervals for functions of multinomial proportions are discussed. The interesting feature of these confidence intervals is that they are obtained via an Edgeworth expansion approximation for the rectangular multino-mial probabilities rather than the resampling approach. In the first part of the article simultaneous confidence intervals for multinomial proportions are considered. The parametric bootstrap confidence interval appears to be the most accurate procedure. The use of this parametric bootstrap confidence region in the sample size determination problem is also discussed. In the second part of the article approximate parametric bootstrap equal-tailed confidence intervals for the minimum and maximum multinomial cell probabilities are derived. Numerical results based on a simulation study are presented to evaluate the performance of these confidence intervals. We also indicate several problems for possible future research in this area. cO 1999 Elsevier Science B.V. All rights reserved
    Relation: Computational Statistics and Data Analysis,43, 29-45
    Data Type: article
    DOI link: http://dx.doi.org/10.1016/S0167-9473(02)00169-X
    DOI: 10.1016/S0167-9473(02)00169-X
    Appears in Collections:[Department of Statistics] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    29-45.pdf225KbAdobe PDF21070View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback