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Publication Date
Sat Oct 27 2018
Journal Name
Journal Of Planner And Development
Volume
22
Issue Number
2
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jpd-15
الميدان وتأثيـــــره في حيويـــة المدينة ومركزهــــا
الفضاء الحضري - الميدان في مركز المدينة – التطوير العمراني – الحيوية - الديمومة.
Urban space -Plaza in the city center - Urban Development - Vital – Continuance
طالب حميد
شذى عباس
دعاء مزهر
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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
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التصميم الامثل
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طريقة الامكان الاعظم الكاملة.
Survival Models
The Generalized Pareto Proportional Hazards Model
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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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Publication Date
Sat Dec 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
Comparison Between Ordinary Methods (LS,IV) and Robust Methods (2SWLS,LTS,RA) to estimate the Parameters of ARX(1,1,1) Model for Electric Loads
أنموذج الانحدار الذاتي بوجود متغير خارجي (ARX)
الكشف عن القيم الشاذة
طريقة المربعات الصغرى الاعتيادية (OLS)
طريقة المتغيرات المساعدة ذات الخطوات الاربعة (4SIV)
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(ARX)
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فراس احمد
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Abstract:

The models of time series often suffer from the problem of the existence of outliers ​​that accompany the data collection process for many reasons, their existence may have a significant impact on the estimation of the parameters of the studied model. Access to highly efficient estimators  is one of the most important stages of statistical analysis, And it is therefore important to choose the appropriate methods to obtain good  estimators. The aim of this research is to compare the ordinary estimators and the robust estimators of the estimation of the parameters of

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