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| 003 | EG-GiCUC | ||
| 005 | 20250223025914.0 | ||
| 008 | 090728s2009 ua d f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.03.01.M.Sc.2009.Ya.R | ||
| 100 | 0 | _aYahia Elsayed Mohamed Elhorbaty | |
| 245 | 1 | 0 |
_aRandom coefficients regression model for multilevel data / _cYahia Elsayed Mohamed Elhorbaty ; Supervised Tarik Abdelwahab Amira , Ahmed Hassan Youssef |
| 246 | 1 | 5 | _aنموذج الانحدار ذو المعاملات العشوائية لبيانات المستويات المتعددة |
| 260 |
_aCairo : _bYahia Elsayed Mohamed Elhorbaty , _c2009 |
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| 300 |
_a121 P. : _bcharts ; _c25cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics | ||
| 520 | _aMultilevel 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 | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aHierarchical data structures | |
| 653 | 4 | _aMultilevel models | |
| 653 | 4 | _aRandom coefficients regression model | |
| 700 | 0 |
_aAhmed Hassan Youssef , _eSupervisor |
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| 700 | 0 |
_aTarik Abdelwahab Amira , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 902 | _a1 | ||
| 905 |
_aMustafa _eRevisor |
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| 905 |
_aSamia _eCataloger |
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| 942 |
_2ddc _cTH |
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_c23250 _d23250 |
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