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A proposed statistical method for detecting the quality of cross section data / Yasmin Mohamed Ibrahim ; Supervised Amany Mousa Mohamed , Somaya Kamel Elattar

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Yasmin Mohamed Ibrahim , 2012Description: 100Leaves : charts ; 30cmOther title:
  • طريقة احصائية مقترحة لتحديد جودة بيانات القطاعات المستعرضة [Added title page title]
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Dissertation note: Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Statistics and Econometrics Summary: 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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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.04.Ph.D.2012.Ya.P (Browse shelf(Opens below)) Not for loan 01010110059601000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.04.Ph.D.2012.Ya.P (Browse shelf(Opens below)) 59601.CD Not for loan 01020110059601000

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

Issued also as CD

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