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Publication Date
Mon Mar 01 2010
Journal Name
Journal Of Economics And Administrative Sciences
Volume
16
Issue Number
57
DOI
10.33095/jeas.v16i57.1447
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jeasiq-1447
Planning the main production tables using the correct binary programming method
تخطيط جداول الانتاج الرئيسية
Planning the main production tables
عبد الجبار خضر
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This research include building mathematical models for aggregating planning and shorting planning by using integer programming technique for planning master production scheduling in order to control on the operating production for manufacturing companies to achieve their objectives of increasing the efficiency of utilizing resources and reduce storage and  improving customers service  through  deliver in the actual dates and reducing delays.

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Publication Date
Sat Dec 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
ESTIMATION OF COEFFICIENTS AND SCALE PARAMETER FOR LINEAR (TYPE 1) EXTREME VALUE REGRESSION MODEL FOR LARGEST VALUES WITH APPLICATIONS
انحدار القيمة المتطرفة
معاملات الانحدار
معلمة القياس
المربعات الصغرى
الإمكان الأعظم
اختبار الرسم الاحتمالي
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Maximum likelihood
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فاطمة جاسم
عادل احمد
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In this paper we estimate the coefficients and scale parameter in linear regression model depending on the residuals are of type 1 of extreme  value distribution for the largest values . This can be regard as an improvement for the studies with the smallest values . We study two estimation methods ( OLS  & MLE ) where we resort to Newton – Raphson (NR) and Fisher Scoring methods to get MLE estimate because the difficulty of using the usual approach with MLE . The relative efficiency criterion is considered beside to the statistical inference procedures for the extreme value regression model of type 1 for largest values . Confidence interval , hypothesis testing for both scale parameter and regression coefficients

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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
نماذج البقاء
أنموذج باريتو العام للمخاطرة النسبية
معيار امثل- CB
معيار امثل- AB
التصميم الامثل
مصفوفة المعلومات
طريقة الامكان الاعظم الكاملة.
Survival Models
The Generalized Pareto Proportional Hazards Model
CB- Optimal Criterion
AB- Optimal Criterion
Optimal Design
Information Matrix
Complete Maximum Likelihood Method.
افتخار عبد الحميد
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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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