Yasmin Mohamed Ibrahim <br/><br/>
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 
<br/><br/>Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics 
<br/><br/> 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 
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<br/><br/><label>Subjects--Index Terms: </label>Data mining  Data quality Distance measures