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 wit...
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| Main Authors: | , , |
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| Format: | Book |
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Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA),
2009.
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| Online Access: | Link Metadata |
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| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_14813 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Ng, Set Foong |e author |
| 700 | 1 | 0 | |a Low, Heng Chin |e author |
| 700 | 1 | 0 | |a Quah, Soon Hoe |e author |
| 245 | 0 | 0 | |a A new estimator and its performance / Ng Set Foong, Low Heng Chin and Quah Soon Hoe |
| 260 | |b Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA), |c 2009. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/14813/1/AJ_LOW%20HENG%20CHIN%20ESTEEM%2009.pdf | ||
| 520 | |a 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. | ||
| 546 | |a en | ||
| 690 | |a Regression analysis. Correlation analysis. Spatial analysis (Statistics) | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/14813/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/14813/ |z Link Metadata |