A discrete shrinking method as alternative to least squares

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Communications Faculty of Sciences University Ankara Series A1 Mathematics and Statistics
Volume:33
A discrete shrinking method as alternative to least squares

A discrete shrinking method as alternative to least squares

Authors : F ÖZTÜRK

Pages : 0-0

Doi:10.1501/Commua1_0000000579

View : 32 | Download : 12

Publication Date : 1984-01-01

Article Type : Research Paper

Abstract :F or the classical iinear regression problem , a num ber of estim ators alternative to least squares have been proposed for situations in w hich m ulticollinearity is a problem . This paper investigates m ean square error properties of biased regression estim ators and presents a proce- dure for obtaining im proved estim ators.
Keywords : regression, squares, ulticollinearity

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