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

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:
Regression analysis. Correlation analysis. Spatial analysis (Statistics)
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
id uitm-14813
recordtype eprints
spelling uitm-148132016-10-06T06:54:15Z http://ir.uitm.edu.my/id/eprint/14813/ A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe Ng, Set Foong Low, Heng Chin Quah, Soon Hoe Regression analysis. Correlation analysis. Spatial analysis (Statistics) 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. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2009 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/14813/1/AJ_LOW%20HENG%20CHIN%20ESTEEM%2009.pdf 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
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Regression analysis. Correlation analysis. Spatial analysis (Statistics)
spellingShingle Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Ng, Set Foong
Low, Heng Chin
Quah, Soon Hoe
A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe
description 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.
format Article
author Ng, Set Foong
Low, Heng Chin
Quah, Soon Hoe
author_facet Ng, Set Foong
Low, Heng Chin
Quah, Soon Hoe
author_sort Ng, Set Foong
title A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe
title_short A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe
title_full A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe
title_fullStr A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe
title_full_unstemmed A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe
title_sort new estimator and its performance / ng set foong, low heng chin and quah soon hoe
publisher Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
publishDate 2009
url http://ir.uitm.edu.my/id/eprint/14813/
http://ir.uitm.edu.my/id/eprint/14813/1/AJ_LOW%20HENG%20CHIN%20ESTEEM%2009.pdf
first_indexed 2023-09-18T22:52:28Z
last_indexed 2023-09-18T22:52:28Z
_version_ 1777417635082797056

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