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...
保存先:
| 主要な著者: | , , |
|---|---|
| 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: | |
| 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/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | 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. |
|---|