Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/7007Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mustafa I. Alheety | - |
| dc.date.accessioned | 2022-10-26T18:42:05Z | - |
| dc.date.available | 2022-10-26T18:42:05Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/7007 | - |
| dc.description.abstract | The residual is a manifestation of the adequacy of fit of the model. For a given data set, when the model is chosen, the residual changes according to the estimator used. Also, to assess the appropriateness of the linear model for a given multicollinearity, it is necessary to determine whether the assumptions about the errors are reasonable. Since the errors are unobservable, this must be done indirectly using residuals. In this paper, the residuals of some new restricted estimators in the restricted linear model are analyzed and compared with the restricted least squares estimator (RLS). We illustrate our findings with a numerical example | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Pioneer Journal of Theoretical and Applied Statistics | en_US |
| dc.subject | restricted least squares estimator | en_US |
| dc.subject | restricted ridge regression estimator, restricted Liu estimator. | en_US |
| dc.title | THE ANALYSIS OF RESIDUALS FOR SOME LINEAR RESTRICTED ESTIMATORS IN THE RESTRICTED LINEAR MODEL | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | قسم الرياضيات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper-pionear.pdf | 489.54 kB | Adobe PDF | View/Open |
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