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jeasiq-1176
Comparison of the Shapiro-Wilk test Jureckova test using simulation and multiple distributions
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 إن المقصود باختبارات حسن المطابقة هو التحقق من فرضية العدم القائمة على تطابق مشاهدات أية عينة تحت الدراسة لتوزيع احتمالي معين وترد مثل هكذا حالات في التطبيق العملي بكثرة وفي كافة المجالات وعلى الأخص بحوث علم الوراثة والبحوث الطبية والبحوث الحياتية ,عندما اقترح كلا من   Shapiro والعالم Wilk  عام 1965 اختبار حسن المطابقة الحدسي مع معالم القياس
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Nuisance location and scale Parameters[24] وقد لاقى هذا الاختبار عناية كبيره من كل الباحثينٍ عن الموضوع في ادبيات الاحصاء والذي تمت دراسته من لدن (Sen) عام 2002 إذ وسع اختبار (Shapiro-Wilk) الى الحالة الخاصة بانحدار الازعاج المكاني ومعالم القياس
(Nuisance Regression and Scale) وتكوين اختبار معتمد على زوج من الاحتمالات للمقدر بأستخدام (MLE) ولمقدرات L   الوهمية للانحراف المعياري في أنموذج انحدار خطي يقارن بين اختبار(Shapiro_Wilk)  واختبار (Jureckova) عام 2003 [24] . إذ تمت المقارنة بين الاختبارين قبل التوسيع وبعده لاختبار(Shapiro_Wilk) ولاحجام عينات مختلفة .

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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Economic contributions to small industrial projects (Selected international experiences with special reference to Iraq)
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Abstract:

Most of the studies on this subject, small industrial projects, by researchers and scholars in the economic field show the great and increasing importance of doing this kind of projects, the extent of which can be determined by the contribution of these projects to indicators and macroeconomic and sectorial variables. So this research aims to show the extent of the economic contribution of projects in selected international experiences and in the Iraqi economy. As international experiences have provided the opportunity for the progress and growth of small projects in their economies, which led to an increase in the contribution of these projects in the recruitment of economically active manpower, in added

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Publication Date
Sun Dec 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Use Generalized Pareto Survival Models to Estimation Optimal Survival Time for Myocardial Infarction Patients
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The survival analysis is one of the modern methods of analysis that is based on the fact that the dependent variable represents time until the event concerned in the study. There are many survival models that deal with the impact of explanatory factors on the likelihood of survival, including the models proposed by the world, David Cox, one of the most important and common models of survival, where it consists of two functions, one of which is a parametric function that does not depend on the survival time and the other a nonparametric function that depends on times of survival, which the Cox model is defined as a semi parametric model, The set of parametric models that depend on the time-to-event distribution parameters such as

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