Doaa Faik Madbuly  <br/><br/>
On handling missing values in multivariate statistical process control via control charts /  
 حول معالجة البيانات المفتقدة فى الضبط الاحصائى المتعدد للعمليات باستخدام خرائط التحكم 
Doaa Faik Madbuly ; Supervised Nadia Makary , Sameer Sharawy , Mahmoud Alsaid 
 - Cairo :   Doaa Faik Madbuly ,   2009 
 - 86P. :   charts ;   25cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics 
<br/><br/> 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 
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<br/><br/><label>Subjects--Index Terms: </label>Average run length and monte Carlo simulation  Missing values  Multivariate control chart