Robust regression and applications
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Date
1996Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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http://hdl.handle.net/11693/18418Abstract
This study analyzes the effect of outliers in the regression analysis with the help of a
written program in the programing language of GAUSS. The analysis relies on the subject of
Robust Regression, which is explained and supported by experiments and applications. The
applications contain examples to show the superiority of this technique.
Keywords
Robust Regression,Defect of Ordinary Least Squares Regression.
Program for Robust Regression
Minimum Covariance Determinant
MVE
Minimum Volume Ellipsoid
MCD
LTS
Least Trinuned Squares
LMS
Least Median Squares
Robust Distance
Leverage Point
Outlier
HB139 .K47 1996
Regression analysis.