A proposedformula for solving the problem of multicollinearity and restricted data with A simulation
This study found out a method derived from ridge regression and restricted least-squares methods to solve the problem of multicollinearity and restricted data at the same time. A simulation study including these problems was carried out . The study used the mean squares error (MSE) to test the e...
| Format: | Article |
|---|---|
| Language: | Arabic |
| Published: |
College of Computer Science and Mathematics, University of Mosul
2013-12-01
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| Series: | المجلة العراقية للعلوم الاحصائية |
| Online Access: | https://stats.mosuljournals.com/article_81240_e6bfc3e8150f6a4eb46d8bdd8201dda2.pdf |
| _version_ | 1811337220009754624 |
|---|---|
| collection | DOAJ |
| description | This study found out a method derived from ridge regression and restricted least-squares methods to solve the problem of multicollinearity and restricted data at the same time.
A simulation study including these problems was carried out . The study used the mean squares error (MSE) to test the efficiency of the Proposedformula. The study concludes that the Proposed formula results in the lowest mean squares error compared with other methods. |
| first_indexed | 2024-04-13T17:51:50Z |
| format | Article |
| id | doaj.art-cd7d4c77c35f4f9d9a86a660121800ea |
| institution | Directory Open Access Journal |
| issn | 1680-855X 2664-2956 |
| language | Arabic |
| last_indexed | 2024-04-13T17:51:50Z |
| publishDate | 2013-12-01 |
| publisher | College of Computer Science and Mathematics, University of Mosul |
| record_format | Article |
| series | المجلة العراقية للعلوم الاحصائية |
| spelling | doaj.art-cd7d4c77c35f4f9d9a86a660121800ea2022-12-22T02:36:40ZaraCollege of Computer Science and Mathematics, University of Mosulالمجلة العراقية للعلوم الاحصائية1680-855X2664-29562013-12-0113329831410.33899/iqjoss.2013.8124081240A proposedformula for solving the problem of multicollinearity and restricted data with A simulationThis study found out a method derived from ridge regression and restricted least-squares methods to solve the problem of multicollinearity and restricted data at the same time. A simulation study including these problems was carried out . The study used the mean squares error (MSE) to test the efficiency of the Proposedformula. The study concludes that the Proposed formula results in the lowest mean squares error compared with other methods.https://stats.mosuljournals.com/article_81240_e6bfc3e8150f6a4eb46d8bdd8201dda2.pdf |
| spellingShingle | A proposedformula for solving the problem of multicollinearity and restricted data with A simulation المجلة العراقية للعلوم الاحصائية |
| title | A proposedformula for solving the problem of multicollinearity and restricted data with A simulation |
| title_full | A proposedformula for solving the problem of multicollinearity and restricted data with A simulation |
| title_fullStr | A proposedformula for solving the problem of multicollinearity and restricted data with A simulation |
| title_full_unstemmed | A proposedformula for solving the problem of multicollinearity and restricted data with A simulation |
| title_short | A proposedformula for solving the problem of multicollinearity and restricted data with A simulation |
| title_sort | proposedformula for solving the problem of multicollinearity and restricted data with a simulation |
| url | https://stats.mosuljournals.com/article_81240_e6bfc3e8150f6a4eb46d8bdd8201dda2.pdf |