On handling missing values in multivariate statistical process control via control charts / Doaa Faik Madbuly ; Supervised Nadia Makary , Sameer Sharawy , Mahmoud Alsaid
Material type:
- حول معالجة البيانات المفتقدة فى الضبط الاحصائى المتعدد للعمليات باستخدام خرائط التحكم [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.01.M.Sc.2009.Do.O (Browse shelf(Opens below)) | Not for loan | 01010110052121000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.01.M.Sc.2009.Do.O (Browse shelf(Opens below)) | 52121.CD | Not for loan | 01020110052121000 |
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Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics
Control charts are graphical tools widely used to monitor manufacturing process to quickly detect any change in a process that may result in a change in a produced quality . The most well known and widely used measure of the performance of the control chart is the average run length . The presence of missing values in a data set used in building the control chart technuque is a serious problem that may face the investigator when applying a control charts to practical situations
Issued also as CD
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