English  |  正體中文  |  简体中文  |  Items with full text/Total items : 78852/78852 (100%)
Visitors : 37494408      Online Users : 743
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/987654321/7699


    Title: 數條迴歸直線之多重比較;Multiple Comparison of Several Regression Lines
    Authors: 李晧成;Hao-Cheng Lee
    Contributors: 統計研究所
    Keywords: 迴歸直線;多重比較;聯合雙尾信賴帶;聯合單尾信賴域;regression line;simultaneous one-sided confidence regions;multiple comparison;simultaneous two-sided confidence band
    Date: 2007-06-05
    Issue Date: 2009-09-22 11:02:29 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 本文針對具有常態分布誤差的數個迴歸模式,於其共變數可能範圍內,建立多條迴歸直線與一條對照迴歸直線差異之聯合單尾信賴域。針對具有單一共變數的兩條迴歸直線差異,本文求出確實的雙尾信賴帶或單尾信賴域之後應用Bonferroni不等式調整族誤差率以建立相關的聯合雙尾信賴帶或聯合單尾信賴域。針對具有多個共變數的數條迴歸直線比較,則是利用模擬的方法求得建立此一聯合單尾信賴域所需之臨界值。本文並進一步利用模擬方法,研究所提聯合單尾信賴域的覆蓋機率。最後,以實例說明所提方法之應用。 The problem of interest in this article is to construct simultaneous one-sided confidence regions for the difference between one controlled regression line with other several regression lines when the random errors are normally distributed. We propose an exact two-sided confidence band or one-sided confidence region for the difference of two simple linear regression lines and then suggest to construct such a simultaneous two-sided confidence band or one-sided confidence region by applying Bonferroni’s inequality for controlling the experiment error rate. For the comparison of several regression lines with one regression line when two or more covariates are involved, we consider to use a simulation-based method for finding the required critical value in the simultaneous one-sided confidence region. A simulation study is then conducted to investigate the coverage probability of the proposed confidence region. Finally, the application of the proposed procedures are demonstrated by illustrating a real data set.
    Appears in Collections:[Graduate Institute of Statistics] Electronic Thesis & Dissertation

    Files in This Item:

    File 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 ©   - 隱私權政策聲明