A new Class of Partitioned Ridge Regression Estimator
| المصدر: | إدارة الاعمال |
|---|---|
| الناشر: | جمعية إدارة الاعمال العربية |
| المؤلف الرئيسي: | Abd Allateef, Said Badr Saad (Author) |
| المجلد/العدد: | ع135 |
| محكمة: | لا |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2011
|
| الشهر: | ديسمبر |
| الصفحات: | 128 - 137 |
| رقم MD: | 660320 |
| نوع المحتوى: | بحوث ومقالات |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
24
| المستخلص: |
Several biased estimator have bean proposed as alternative to the least squared estimator when multicollinearity is presenting the multiple linear regression model. In this article a class of biased linear estimator of the vector unknown regression coefficient, when multicollinearity among the columns of the design matrix exists, is obtained. The ordinary ridge regression, principal components, partitioned regression and shrinkage estimators are members of this class. The theoretical properties of this new estimator were derived. |
|---|
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