A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe

Ng, Set Foong and Low, Heng Chin and Quah, Soon Hoe (2009) A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe. ESTEEM Academic Journal, 5 (2). pp. 21-37. ISSN 1675-7939
Abstract

The Ordinary Least Squares Estimator is an unbiased estimator in estimating parameters in a linear regression model. In this paper, a new estimator is proposed as an alternative of the Ordinary Least Squares Estimator for linear
regression model. The performance of this new estimator is compared with other estimators in terms of mean squared error.

Item Details
Item Type: Article
Creators:
Creators
Email / ID Num.
Ng, Set Foong
ngsetfoong061@ppinang.uitm.edu.my
Low, Heng Chin
UNSPECIFIED
Quah, Soon Hoe
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Multivariate analysis. Cluster analysis. Longitudinal method > Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Divisions: Universiti Teknologi MARA, Pulau Pinang
Journal or Publication Title: ESTEEM Academic Journal
UiTM Journal Collections: UiTM Journals > ESTEEM Academic Journal (EAJ)
ISSN: 1675-7939
Volume: 5
Number: 2
Page Range: pp. 21-37
Keywords: Estimator; Linear regression
Date: 2009
URI: https://ir.uitm.edu.my/id/eprint/14813
Edit Item
Edit Item
Downloads & Files
[thumbnail of AJ_LOW HENG CHIN ESTEEM 09.pdf]
Text
AJ_LOW HENG CHIN ESTEEM 09.pdf
Download (18MB)
Indexing & Metrics
Google Scholar BASE