English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49621/84835 (58%)
造訪人次 : 7688368      線上人數 : 73
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/987654321/94025


    題名: 具有隨機效應及測量誤差之邏輯斯迴歸模型的參數估計方法
    其他題名: Estimation of the logistic regression model with measurement errors and random effects
    作者: 林承翰;Lin, Cherng-Hann
    貢獻者: 淡江大學數學學系碩士班
    黃逸輝;Huang, Yih-Huei
    關鍵詞: 測量誤差;隨機效應;邏輯斯模型;條件分數法;measurement error;Random effect;Logistic Model;Conditional score
    日期: 2013
    上傳時間: 2014-01-23 13:48:32 (UTC+8)
    摘要: 在過去文獻中很少討論在廣義線性模式中同時有測量誤差和隨機效用,主要是因為將隨機效用積分後的分配已不是廣義線性模式,使得傳統上的條件分數法或是校正分數法難以應用。本文主要探討邏輯斯迴歸在有測量誤差和隨機效用時的模型中,使用部分條件分數估計方法,並與 Naive 及迴歸校正法兩者作比較。
    There are not many literatures discuss the statistical inference when the measurement error and random effect exist in the generalized linear model. The main reason is that the distribution after integrating the random effect is no longer a generalized linear model, hence the conventional conditional score or corrected score are difficult in application. This paper discussed the estimation method when measurement error and random effect coexist in the logistic regression model, the estimation was done by a partially conditional score. We compare the efficient of the methods of Naive and regression calibration with the proposed method by simulation studies.
    顯示於類別:[數學學系暨研究所] 學位論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    index.html0KbHTML119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