| 000 | 01651cam a2200325 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223030730.0 | ||
| 008 | 121229s2012 ua d 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.Ne.P | ||
| 100 | 0 | _aNesma Ali Mahmoud Saleh | |
| 245 | 1 | 4 |
_aThe performance of the adaptive exponentially weighted moving average control chart with estimated parameters / _cNesma Ali Mahmoud Saleh ; Supervised Mahmoud Alsaid Mahmoud |
| 246 | 1 | 5 | _aأداء خريطة التحكم المتكيفة للمتوسطات المتحركة المرجحة أسيا في حالة المعلمات المقدرة |
| 260 |
_aCairo : _bNesma Ali Mahmoud Saleh , _c2012 |
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| 300 |
_a69 P. : _bcharts ; _c25cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics | ||
| 520 | _aThe adaptive exponentially weighted moving average (AEWMA) control chart has the advantage of detecting in balance mixed range of mean shifts. Its performance has been studied under the assumption that the process parameters are known. Under this assumption, previous studies have shown that AEWMA provides superior statistical performance when compared to other different types of control charts | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aAEWMA | |
| 653 | 4 | _aEstimation effect | |
| 653 | 4 | _aMarkov chain | |
| 700 | 0 |
_aMahmoud Alsaid Mahmoud , _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 |
_c40783 _d40783 |
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