A discrete shrinking method as alternative to least squares

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

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 : 33 | 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

ORIGINAL ARTICLE URL

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.

Index of Academic Documents
İzmir Academy Association
CopyRight © 2023-2026