| 000 | 015530000a22003250004500 | ||
|---|---|---|---|
| 003 | EG-GICUC | ||
| 005 | 20250223030619.0 | ||
| 008 | 070108s2006 ua d f m 000 0 eng d | ||
| 040 |
_aEG-GICUC _beng _cEG-GICUC |
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| 041 | 0 | _aEng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.18.03.Ph.D.2006.Ay.B | ||
| 100 | 0 | _aAyman Ahmed Mostafa | |
| 245 | 1 | 0 |
_aBayesian Non - parametric Estimation in Proportional Hazard Models / _cAyman Ahmed Mostafa ; Supervised Shaban Abd El hameed Shaban |
| 246 | 1 | 5 | _aتقدير بييز اللامعلمى لنماذج الاخطار المتناسبة |
| 260 |
_aCairo : _bAyman Ahmed Mostafa , _c2006 |
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| 300 |
_a166P : _bcharts ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Institute Of Statistical Studies and Research - Department Of Mathematical Statistics | ||
| 520 | _aIn survival analysis , the proportional hazard model (PHM) was introduced by Cox (1972) in order to estimate the effects of different covariates influencing the times - to - event data The PHM has been used extensively in biomedicine , reliability engineering and , recently , interest in its application in different areas of knowledge (eg , social , economic , actuarial sciences) has increased | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aBayesian | |
| 653 | 4 | _aHazard Models | |
| 653 | 4 | _aNon - parametric | |
| 700 | 0 |
_aShaban Abd El hameed Shaban , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aAmira _eCataloger |
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| 905 |
_aEsam _eRevisor |
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| 942 |
_2ddc _cTH |
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| 999 |
_c38389 _d38389 |
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