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|3 10.35778/1742-000-015-032
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|a eng
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044 |
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|b ليبيا
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100 |
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|9 452077
|a Agel, Ali H.
|e Author
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245 |
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|a Problem of Multicollinearity
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260 |
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|b جامعة الزيتونة
|c 2015
|g سبتمبر
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300 |
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|a 82 - 93
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336 |
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|a بحوث ومقالات
|b Article
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520 |
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|b This paper investigates the short comings of using least squares estimators in the presence of multicollinearity in dealing with regression analysis. The solution to the multicollinearity problem is introduced by adding some constant to the diagonal elements of the coefficients matrix in the normal equations. This solution is superior to least-squares in presence of multicollinearity. Simulation studies are conducted based on 1000 data sets each, we note that the system stabilizes in a region of k values depending on the degree of correlation between the independent variables. The results of the simulation studies show that k is a linear function of the coefficient of determination of the least squares regression of X on the remaining p -1 regress or variables (R).
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653 |
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|a التحليل الإحصائي
|a الانحدار الخطي البسيط
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700 |
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|9 452080
|a Duzan, Hanan M.
|e Co-Author
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773 |
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|4 العلوم الإنسانية ، متعددة التخصصات
|4 العلوم الاجتماعية ، متعددة التخصصات
|6 Humanities, Multidisciplinary
|6 Social Sciences, Interdisciplinary
|c 032
|e Azzaytuna University Journal
|f Mağallaẗ ğāmiʿaẗ al-Zaytūnaẗ
|l 015
|m ع15
|o 1742
|s مجلة جامعة الزيتونة
|v 000
|x 2523-1006
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700 |
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|a Gregni, Nadia B.
|e Co-Author
|9 452078
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856 |
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|u 1742-000-015-032.pdf
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|d y
|p y
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|a EduSearch
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|a EcoLink
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|a IslamicInfo
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|a HumanIndex
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|c 841144
|d 841144
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