| 000 | 01581cam a2200337 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223030656.0 | ||
| 008 | 120922s2012 ua f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.03.01.M.Sc.2012.Em.M | ||
| 100 | 0 | _aEman Ismail Mahmoud Hussien | |
| 245 | 1 | 2 |
_aA mathematical programming approach to variable selection in clusterwise linear regression / _cEman Ismail Mahmoud Hussien ; Supervised Ramadan Hamed , Ali Elhefnawy |
| 246 | 1 | 5 | _aأسلوب البرمجة الرياضية لاختيار المتغيرات في الانحدار العنقودى |
| 260 |
_aCairo : _bEman Ismail Mahmoud Hussien , _c2012 |
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| 300 |
_a76 P. ; _c25cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics | ||
| 520 | _aResearchers often need to fit regression models to data that may not be homogenous with respect to the variables involved. The clusterwise regression model has provided a technique to partition the data into homogenous clusters and perform regression analysis within each cluster in a simultaneous manner | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aClusterwise linear regression | |
| 653 | 4 | _aMathematical programming | |
| 653 | 4 | _aVariable selection | |
| 700 | 0 |
_aAli Elhefnawy , _eSupervisor |
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| 700 | 0 |
_aRamadan Hamed , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aSamia _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c39612 _d39612 |
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