淡江大學機構典藏:Item 987654321/27384
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    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

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