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

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 wi...

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Bibliographic Details
Main Authors: Ng, Set Foong, Low, Heng Chin, Quah, Soon Hoe
Format: Article
Language:English
Published: Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2009
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/14813/
http://ir.uitm.edu.my/id/eprint/14813/1/AJ_LOW%20HENG%20CHIN%20ESTEEM%2009.pdf
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Summary: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.