English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 56829/90592 (63%)
造訪人次 : 12146127      線上人數 : 64
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/987654321/27384

    題名: Fuzzy-weighted estimation in ridge regression analysis
    作者: Tsai, Tzong-ru;Wu, Shuo-jye
    貢獻者: 淡江大學統計學系
    日期: 2002-05
    上傳時間: 2009-12-30 14:59:52 (UTC+8)
    出版者: Analytic Publishing
    摘要: Frequently in linear regression analysis, the explanatory variables may be correlated among themselves and the data set may contain some observations that are outlying or extreme. In this article, we address an important problem: namely, accurately estimating the parameter in a linear model in the presence of outliers and multicollinear explanatory variables. The proposed solution is a combination of fuzzyweighted regression to mitigate the effect of the outliers and ridge regression to deal with the multicollinearity. We conduct a simulation study to evaluate the performance of the proposed estimator, and illustrate the methodology with an application.
    關聯: Journal of Information & Optimization sciences 23(2), pp.259-271
    DOI: 10.1080/02522667.2002.10698995
    顯示於類別:[統計學系暨研究所] 期刊論文


    檔案 描述 大小格式瀏覽次數



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋