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بناء نموذج صفوف الانتظار باستخدام المقدرات الحصينة لقسم الباطنية / مستشفى بغداد التعليمي == Building Queuing Models Using Robust Estimators For The Department of Internal / Baghdad Teaching Hospital
Author name:
حسنين حامد احمد الطائي
Supervisor name:
مروان عبد الحميد عاشور
General topic:
Administration and Economics
Specific topic:
Operations Research
Degree:
Master
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3541 - p.pdf
Abstract:
ان للشواذ الاثر الاكبر في عملية تقدير معلمات توزيعي الوصول والخدمة لنماذج صفوف الانتظار، عليه كان لابد من استعمال طريقة لاختبار هل ان هذه البيانات تحتوي على قيم شاذة ام لا، فجرى استعمال طريقة ( Tukey ) لهذا الغرض، وقد تبين ان هناك مشاهدات شاذة في مقدرات | As the Outliers greatest impact in the process of estimating the distribution of arrival and service parameters, it was necessary to use the method to test Are these data contain abnormal values or not, ran the use method ( Tukey ) for this purpose and is of the most popular ways to discover the outliers, and have found that there are views abnormal ( outliers ) in the estimators of a distributed both arrival and service, which have a significant impact on the calculation of these estimators have been addressed through the use of robust estimation methods ( Robust estimation methods ) be of the effectiveness and feasibility of giving robust estimator better than the estimated normal extracted function in a manner as possible the greatest normal ( Ordinary Maximum Likelihood estimation ) ( MLE ) , as was the use of the estimators of the greatest possible function weighted ( weighted Maximum Likelihood estimation ) ( WMLE ) in the estimation process, was the best estimate is the estimated robust existence of outliers that have had the greatest impact on the process of improving the efficiency of the performance of a queueing theory, which led to relieve pressure on the service system, which in turn reduces delays for patients.Robust queues models applied and their role in improving the performance of the Department of Health in Baghdad / city of Medicine / Baghdad Teaching Hospital / Advisory clinic esoteric. It was found that the views of extremist dramatically affect the outcome queue estimates of the distributional arrival and service which will reflect negatively on the measurements of the efficiency of performance indicators queuing system and therefore it leads to non - solid results because that way possible ( Robust Maximum Likelihood Estimation ) ( RMLE ) used in the process of estimating the parameters were the best way possible regular ( MLE ) , as the method used was able to find robust estimator good efficient and of great effectiveness and that processed data containing outliers in the sample.Through Applied study of data researcher found that the queue model was (M / M / C) : ( GD / ? / ?) at a rate of three doctors who represent a number of service channels and the size of the community, as well as the size of both unlimited system.The key findings of the research is to adopt robust estimators for distributional arrival and service models queues in general because they are working to address the impact of outliers winning in the data.
