English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 60861/93527 (65%)
造訪人次 : 1496065      線上人數 : 14
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/32932


    題名: 有測量誤差下的二次迴歸參數估計
    其他題名: The parameter estimation of quadratic polynomial model with measurement errors
    作者: 蕭富源;Xiao, Fu-yuan
    貢獻者: 淡江大學數學學系碩士班
    伍志祥;Wu, Jyh-shyang
    關鍵詞: 測量誤差;不可辨認性;線性模式;二次迴歸模型;measurement error;unidentifiability;linear model;quadratic polynomial model
    日期: 2006
    上傳時間: 2010-01-11 03:00:05 (UTC+8)
    摘要: 迴歸分析(Regression analysis)是一種了解解釋變數與反應變數間之數量關係的統計分析方法(statistical method)。建構迴歸分析時,有時會碰到資料中的解釋變數無法準確測量,我們稱這種模式為測量誤差模式〈measurement error model〉。測量誤差模式中的迴歸分析,在解釋變數獨立於測量誤差跟迴歸誤差,且測量誤差跟迴歸誤差為二維常態(bivariate normal),時參數是不可確認。因此在測量誤差模式中,最基本的問題是甚麼樣的條件會使得模式的參數可確認〈identifiable〉。在本文我們假設測量誤差為常態分佈有未知變異數且期望值為0,對簡單線性迴歸模型及二次迴歸模型探討其真實解釋變數參數可確認性的條件,另外提出俱一致性的參數估計量,並模擬研究其MSE的表現情況。
    Regression analysis is a statistic method for understanding the relationship between independent variable and dependent variable. When establishing the Regression Analysis, sometimes people will meet the problem that the independent variable in the data base cannot be measure exactly, and that is what people called measurement error model. The reason to determine the regression analysis of measurement error model is to explain when the variable becomes independent in measurement error and regression error, and the measurement error and regression error are bivariate normal, the parameter is unidentifiable. Therefore, in the measurement error model, the basic problem is what conditions can make the parameters to be identifiable. In this thesis, we suppose that the measurement error is normal distribution with mean zero and unknown variable, and discuss the identifiable qualifications of parameters in simple linear regression model and in quadratic polynomial model respectively. We also discuss the estimators of parameters which are consistency, and simulate the performance of mean square error.
    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
    0KbUnknown283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