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| 008 | 130213s2012 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 | _aPh.D | ||
| 099 | _aCai01.18.04.Ph.D.2012.Ya.P | ||
| 100 | 0 | _aYasmin Mohamed Ibrahim | |
| 245 | 1 | 2 |
_aA proposed statistical method for detecting the quality of cross section data / _cYasmin Mohamed Ibrahim ; Supervised Amany Mousa Mohamed , Somaya Kamel Elattar |
| 246 | 1 | 5 | _aطريقة احصائية مقترحة لتحديد جودة بيانات القطاعات المستعرضة |
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_aCairo : _bYasmin Mohamed Ibrahim , _c2012 |
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_a100Leaves : _bcharts ; _c30cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics | ||
| 520 | _aCorrectness and presision of data are very crucial in applications for reliable results . Few statistical tools have been used to deal with the problem of data quality . Statistical methods for studying data quality have focused on detecting outliers and influential observation . In this thesis , an indicator for data quality is proposed , which depends on observations in data sets without the need for auxiliary information | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aData mining | |
| 653 | 4 | _aData quality | |
| 653 | 4 | _aDistance measures | |
| 700 | 0 |
_aAmany Mousa Mohamed , _eSupervisor |
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| 700 | 0 |
_aSomaya Kamel Elattar , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
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_aFatma _eCataloger |
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_aNazla _eRevisor |
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