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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/87456

    Title: 邏輯斯模型有測量誤差時之模擬研究
    Other Titles: The simulation study of logistic regression model with measurement errors
    Authors: 張煦;Chang, Hsu
    Contributors: 淡江大學數學學系碩士班
    黃逸輝;Huang, Yih-Huei
    Keywords: 測量誤差;迴歸校正;條件分數;延伸校正分數;Measurement errors
    Date: 2013
    Issue Date: 2013-04-13 11:08:39 (UTC+8)
    Abstract: 本文探討當邏輯斯模型的自變數有測量誤差時,各種不同的估計方法表現的模擬研究。這些方法包含了傳統的迴歸校正、條件分數及新穎的延伸校正分數函數等等。我們考慮有不同的自變數分佈、樣本大小、迴歸參數值、測量誤差變異數與測量誤差分佈等許多情況,並從估計量的樣本變異數或是標準差的大小來評估不同估計方法的效率。
    This thesis discusses the performances of different estimation methods in logistic regression model when covariates are subject to measurement errors. The efficiencies of different methods were evaluated through extensively simulation studies. These simulation studies were conducted under different distribution of covariates, samples size, values of regression parameter, the variance associated with measurement errors and the distribution of measurement errors. Conclusions based on the sample standard deviations were derived.
    Appears in Collections:[數學學系暨研究所] 學位論文

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