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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Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
2009
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| 在線閱讀: | 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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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 |
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| url_provider |
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| 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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1685648572834381824 |
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13.251813 |