Random coefficients regression model for multilevel data / Yahia Elsayed Mohamed Elhorbaty ; Supervised Tarik Abdelwahab Amira , Ahmed Hassan Youssef
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TextLanguage: eng Publication details: Cairo : Yahia Elsayed Mohamed Elhorbaty , 2009Description: 121 P. : charts ; 25cmOther title: - نموذج الانحدار ذو المعاملات العشوائية لبيانات المستويات المتعددة [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.01.M.Sc.2009.Ya.R (Browse shelf(Opens below)) | Not for loan | 01010110051354000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.01.M.Sc.2009.Ya.R (Browse shelf(Opens below)) | 51354.CD | Not for loan | 01020110051354000 |
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Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics
Multilevel models are those models designed to handle hierarchically structured data and hence ara widely appearing in many studies that undergo social science research. A special sub - model is called the random coefficients regression (RCR) model where the regression coefficients are assumed random ; consisting of a fixed part as well as a random error component
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