English  |  正體中文  |  简体中文  |  Items with full text/Total items : 69937/69937 (100%)
Visitors : 23200390      Online Users : 447
RC Version 7.0 © 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
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65487

    Title: 一個普世的分析交叉實驗個數資料的有母數強韌法;A universal parametric robust approach for analyzing count data from cross over designs
    Authors: 侯宜君;Hou,Yi-chun
    Contributors: 統計研究所
    Keywords: 強韌概似函數;相關性資料;二元負二項;交叉實驗設計;robust likelihood;correlation data;bivariate negative binomial;crossover design
    Date: 2014-07-17
    Issue Date: 2014-10-15 15:32:59 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本論文指出二元負二項模型可經適當的修正後提供具強韌性的概似函數。在不知道資料的聯合分配情況之下,可利用此強韌概似函數分析在交叉實驗設計下的個數資料,進而決定樣本數。我們並將此有母數的強韌概似函數法與Lui (2013) 所提的方法做有效性的比較。;The aim of this dissertation is to show that the bivariate negative binomial distribution, when properly adjusted, is a convenient tool for analyzing count data from cross over designs. We contrast this universal parametric robust with a currently proposed method in literature in terms of validity and efficiency. The issue of sample size determination is also examined.
    Appears in Collections:[統計研究所] 博碩士論文

    Files in This Item:

    File Description SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明