کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
416708 | 681398 | 2006 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Derived components regression using the BACON algorithm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Partial least squares and principal components regression are commonly used regularized regression methods which use derived components instead of original predictors. The components are derived from the estimated variance–covariance matrix and regression is run using the least squares. Therefore, they are not robust and a few outliers may have drastic effects on the obtained results. These regression methods are robustified by using the BACON algorithm which provides robust measures for both dispersion and regression. The proposed methods are illustrated by examples and their properties are investigated using both real data and simulation experiments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 51, Issue 2, 15 November 2006, Pages 556–569
Journal: Computational Statistics & Data Analysis - Volume 51, Issue 2, 15 November 2006, Pages 556–569
نویسندگان
Athanassios Kondylis, Ali S. Hadi,