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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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主要な著者: Ng, Set Foong, Low, Heng Chin, Quah, Soon Hoe
フォーマット: 論文
言語:English
出版事項: Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2009
主題:
Regression analysis. Correlation analysis. Spatial analysis (Statistics)
オンライン･アクセス:http://ir.uitm.edu.my/id/eprint/14813/1/AJ_LOW%20HENG%20CHIN%20ESTEEM%2009.pdf
http://ir.uitm.edu.my/id/eprint/14813/
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id my.uitm.ir.14813
record_format eprints
spelling my.uitm.ir.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
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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/14813/1/AJ_LOW%20HENG%20CHIN%20ESTEEM%2009.pdf
http://ir.uitm.edu.my/id/eprint/14813/
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score 13.250246

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