English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 56465/90290 (63%)
造訪人次 : 11709945      線上人數 : 91
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/987654321/20602


    題名: An optimal test for the mean function hypothesis
    作者: Chang, K. F.;吳忠武;Wu, Jong-wuu
    貢獻者: 淡江大學統計學系
    關鍵詞: Consistency;estimation equation;goodness of fit;mean function;pitman efficiency
    日期: 1998-01-01
    上傳時間: 2009-11-30 12:53:23 (UTC+8)
    出版者: Statistica Sinica
    摘要: The conditional mean of the response variable Y ggiven the covariates is usually modelle d by a parametric function g(βx), where g(.) is a known function and β is a row vector of p unknown parameters. In this paper, a new method for testing the goodness of fit of the model g(βx) for the mean function is presented. The new test depends on the selection of weight functions. An expression for the efficacy of the proposed test under a sequence of local alternatives will be given. With the application of this result one can direct the choice of the optimal weight functions in order to maximize the efficacy. The new test is simple in computation and consistent against a broad class of alternatives. Asymptotically, the null distribution is independent of the underlying distribution of Y given X=x. Two pratical examples are given to illustrate the method. Further, simulation studies are given to show the advantages of the proposed test.
    關聯: Statistica sinica 8, pp.477-487
    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
    0KbUnknown243檢視/開啟
    An optimal test for the mean function hypothesis.pdf590KbAdobe PDF0檢視/開啟
    index.html0KbHTML8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