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استخدام المحاكاة للمفاضلة بين بعض الطرائق الحديثة لنموذج GM(1,1) لايجاد القيم المفقودة و تقدير المعلمات مع تطبيق عملي
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The grey system model GM(1,1) is the model of the prediction of the time series and the basis of the grey theory. This research presents the methods for estimating parameters of the grey model GM(1,1) is the accumulative method (ACC), the exponential method (EXP), modified exponential method (Mod EXP) and the Particle Swarm Optimization method (PSO). These methods were compared based on the Mean square error (MSE) and the Mean Absolute percentage error (MAPE) as a basis comparator and the simulation method was adopted for the best of the four methods, The best method was obtained and then applied to real data. This data represents the consumption rate of two types of oils a heavy fuel (HFO) and diesel fuel (D.O) and the use of tests to confirm the accuracy of the grey model. After obtaining the results, the best method to estimate the parameters of the grey model GM(1,1) is the method of the Particle Swarm Optimization method (PSO) It has been used to treatment the missing values ​​in the data and in the prediction where it has been shown to have the best results

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Publication Date
Sun Jan 01 2017
Journal Name
مجلة البحوث التربوية والنفسية
صعوبات تطبيق الاتجاهات الحديثة لتدريس مادة الفيزياء في المدارس الثانوية لمحافظة بغدادمن وجهة نظر مدرسي ومدرسات الفيزياء
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The goal of current research is to identify the difficulties in the application of modern physics in the middle schools of the province of Baghdad schools from the perspective of teachers of physics trends, sample search of (127) teachers, Karkh Third Directorate, and use Researcher questionnaire data collection tool after applying it to teachers who have experience (5) years and more after confirmation of the validity and reliability of the scale (the tool) researcher has used the averages for the purpose of interpreting the results. the results showed that the difficulties have been in the order following: (difficulties related educational environment of modern trends of teaching, curriculum-related difficulties, difficulties rel

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Publication Date
Thu Mar 01 2007
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة بين الطريقة التقليدية Classical Method وطريقة تحليل الطيف Spectral Analysis لإيجاد ثابت التمهيد التكيفي عند وجود قيم شاذة Outlier Values
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   In this paper , two method which deal with finding the optimal value for adaptive smoothing constant, are compared .This constant is used in adaptive Single Exponential Smoothing (ASES).

The comparing is between a method uses time domain and another uses frequency domain when the data contain outlier value for autoregressive model of order one AR(1) , or Markov Model, when the time series are stationary and non stationary with deferent samples .    

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Publication Date
Sat Jan 10 2026
Journal Name
Journal Of Studies And Researches Of Sport Education
دراسة مقارنة لبعض مظاهر الانتباه بين لاعبي بعض العاب المنازلات.
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Journal of Studies and Researches of Sport Education

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Publication Date
Wed Oct 17 2018
Journal Name
Journal Of Economics And Administrative Sciences
The Use Of the Bayesian Method and Restricted Maximum Likelihood in estimating of mixed Linear Components with random effects model with practical application.
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In this research we study a variance component model, Which is the one of the most important models widely used in the analysis of the data, this model is one type of a multilevel models, and it is considered as linear models , there are three types of linear variance component models ,Fixed effect of linear variance component model, Random effect of linear variance component model and Mixed effect of linear variance component model . In this paper we will examine the model of mixed effect of linear variance component model with one –way random effect ,and the mixed model is a mixture of fixed effect and random effect in the same model, where it contains the parameter (μ) and treatment effect (τi ) which  has

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Publication Date
Thu Jan 20 2000
Journal Name
مجلة العلوم الزراعية العراقية 31 (العدد2), 235-248
استخدام كثافة الحزم البروتينية المفصولة في تمييز بعض اصناف نخيل التمر
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Publication Date
Sat Dec 01 2007
Journal Name
Journal Of Economics And Administrative Sciences
استخدام Win.Q.S.B. لإصدار خطة إنتاجية
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المقدمة

بفضل التقدم الذي حصل في الحاسبات في العقد الأخير والذي انعكست آثاره على البرامج الجاهزة اعتبرت المشكلة التي في حدود بضعة آلاف من المتغيرات والقيود من المشاكل الصغيرة إذ تم حل مشاكل بعشرات الآلاف أو مئات الآلاف من المتغيرات المستمرة حلا مناسبا.وبفضل التقدم التكنولوجي للحاسبات وسرعة معاملتها للبيانات والمعادلات تم بناء برامج جاهزة لأساليب بحوث العمليات ومعالجة المشاكل الإدار

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Publication Date
Fri Sep 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Semi parametric Estimators for Quantile Model via LASSO and SCAD with Missing Data
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In this study, we made a comparison between LASSO & SCAD methods, which are two special methods for dealing with models in partial quantile regression. (Nadaraya & Watson Kernel) was used to estimate the non-parametric part ;in addition, the rule of thumb method was used to estimate the smoothing bandwidth (h). Penalty methods proved to be efficient in estimating the regression coefficients, but the SCAD method according to the mean squared error criterion (MSE) was the best after estimating the missing data using the mean imputation method

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Publication Date
Thu Nov 14 2024
Journal Name
مجلة دراسات وبحوث التربية الرياضية
تأثير استخدام تمرينات تعليمية بمصاحبة بعض الوسائط التفاعلية في بعض القدرات العقلية والاداء الفني لركض 100 حواجز طالبات
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هدف البحث الى إعداد تمرينات تعليمية بمصاحبة بعض الوسائط التفاعلية في بعض القدرات العقلية والاداء الفني لركض 100 حواجز طالبات، وكانت عينة البحث هم طالبات كلية التربية البدنية وعلوم الرياضة للبنات / جامعه بغداد المرحلة الثانية وكان عددهم (20) طالبة واستعملت الباحثة المنهج التجريبي واستعملت تمرينات تعليمية بمصاحبة بعض الوسائط التفاعلية للمجموعة التجريبية لمدة (6 أسابيع) بواقع وحدتين تعليمية في الأسبوع واستن

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Publication Date
Wed Nov 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
strong criminal capabilities، Using simulation .
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The penalized least square method is a popular method to deal with high dimensional data ,where  the number of explanatory variables is large than the sample size . The properties of  penalized least square method are given high prediction accuracy and making estimation and variables selection

 At once. The penalized least square method gives a sparse model ,that meaning a model with small variables so that can be interpreted easily .The penalized least square is not robust ,that means very sensitive to the presence of outlying observation , to deal with this problem, we can used a robust loss function to get the robust penalized least square method ,and get robust penalized estimator and

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Publication Date
Wed Jan 01 2003
Journal Name
مجلة العلوم الزراعية العراقية 34 (العدد 3), 96-91
التغاير الفصلي في بعض الصفات المظهرية و الكربوهيدرات في اوراق اشجار نخلة التمر و الزيتون و اليوكالبتوس المستزرعة في منطقة الصحراء الغربية , العراق
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