English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49521/84657 (58%)
造訪人次 : 7597268      線上人數 : 77
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98641


    題名: A Revisit To Contingency Table And Tests Of Independence: Bootstrap Is Preferred To Chi-Square Approximations As Well As Fisher's Exact Test
    作者: Lin, Jyh-Jiuan;Chang, Ching-Hui;Pal, Nabendu
    貢獻者: 淡江大學統計學系
    關鍵詞: Hypothesis testing;level of a test;size;power of a test;62G10;62D99;62Q05
    日期: 2014
    上傳時間: 2014-09-03 15:34:52 (UTC+8)
    出版者: Philadelphia: Taylor & Francis Inc.
    摘要: To test the mutual independence of two qualitative variables (or attributes) it is a common practice to follow the Chi-Square tests (Pearson's as well as likelihood ratio test) based on data in the form of a contingency table. However, it should be noted that these popular Chi-Square tests are asymptotic in nature, and are useful when the cell frequencies are 'not too small'. In this paper we explore the accuracy of the Chi-Square tests through an extensive simulation study, and then propose their bootstrap versions which appear to work better than the asymptotic Chi-Square tests. The bootstrap tests are useful even for small cell frequencies as they maintain the nominal level quite accurately. Also, the proposed bootstrap tests are more convenient than the Fisher's exact test which is often criticized for being too conservative. Finally, all test methods are applied to a few real-life datasets for demonstration purposes.
    關聯: Journal of Biopharmaceutical Statistics
    DOI: 10.1080/10543406.2014.920851
    顯示於類別:[統計學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML191檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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