A proposed statistical method for detecting the quality of cross section data /
Yasmin Mohamed Ibrahim
A proposed statistical method for detecting the quality of cross section data / طريقة احصائية مقترحة لتحديد جودة بيانات القطاعات المستعرضة Yasmin Mohamed Ibrahim ; Supervised Amany Mousa Mohamed , Somaya Kamel Elattar - Cairo : Yasmin Mohamed Ibrahim , 2012 - 100Leaves : charts ; 30cm
Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics
Correctness 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
Data mining Data quality Distance measures
A proposed statistical method for detecting the quality of cross section data / طريقة احصائية مقترحة لتحديد جودة بيانات القطاعات المستعرضة Yasmin Mohamed Ibrahim ; Supervised Amany Mousa Mohamed , Somaya Kamel Elattar - Cairo : Yasmin Mohamed Ibrahim , 2012 - 100Leaves : charts ; 30cm
Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics
Correctness 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
Data mining Data quality Distance measures