أن استعمال النماذج المعلمية وما يتبعها من أساليب تقدير يتطلب وجود العديد من الشروط الأولية الواجب توافرها كي تمثل تلك النماذج المجتمع تحت الدراسة تمثيلا ملائما الأمر الذي دفع الباحثون إلى البحث عن نماذج أكثر مرونة من النماذج المعلمية وتمثلت هذه النماذج بالنماذج اللامعلمية .     في هذا البحث تم مقارنة ما يسمى بمقدر Nadaraya-Watson في حالة استعمال معلمة عرض حزمة ثابتة ومتغيرة وذلك من خلال أسلوب المحاكاة مستخد

تضمنت مقدمة البحث الحديث عن التدريس وعمليات اكتساب المعلومات والقدرات والمهارات وتطويرها و من اهم مهام  طرائق التدريس واحدة من اساسيات العمليات التطبيقية  للدروس والتي شهدت تطورا كبيرا باستخدام التطبيق العلمي الصحيح وخاصة في عملية التعلم وإجادة المتعلمات لطرائق التدريس يرتبط بالتحصيل المعرفي لديهن ويعد العامل المهم لتحقيق النجاح لتلك الدروس, وبرزت مشكلة البحث من خلال التساؤل ماهي العلاقة بين درجة ال

Of the most prominent elements of the educational process in physical education is a curriculum decision, which is containing a number of elements, including the book Alorteurllmadp study and which must be characterized by a high level of quality is reflected on the nature of the scientific level that will excel by the students after them with knowledge about it and to identify the vocabulary and here emerged the idea and the importance of Find Considering researchers that the quality of the textbook of the article subjects of great importance in the delivery of educational material form the right and perhaps the most prominent subjects and most important for the students of Physical Education is a substance that teaching methods and so to

The purpose of this paper is use the Dynamic Programming to solve a deterministic periodic review model for inventory problem and then to find the optimal policies that the company must uses in the purchase or production  (in the practical application example the Al Aksa company purchase the generators from out side country).

In this research, the methods of Kernel estimator (nonparametric density estimator) were relied upon in estimating the two-response logistic regression, where the comparison was used between the method of Nadaraya-Watson and the method of Local Scoring algorithm, and optimal Smoothing parameter λ was estimated by the methods of Cross-validation and generalized Cross-validation, bandwidth optimal λ has a clear effect in the estimation process. It also has a key role in smoothing the curve as it approaches the real curve, and the goal of using the Kernel estimator is to modify the observations so that we can obtain estimators with characteristics close to the properties of real parameters, and based on medical data for patients with chro

يهدف هذا البحث الى تقدير الانموذج الخطي الجزئي (Partial Linear Regression Model) بإستعمال طريقتين من طرائق التمهيد وهما طريقتي التمهيد المويجي (Wavelet Smoother)  والتمهيد اللبي (Kernel Smoother). تم استعمال تجارب المحاكات لبيان افضل تلك الطرائق في تقدير هذا النوع من النماذج بإختلاف الحالات والدوال وحجوم العينات والتباينات المستعملة. تم الاعتماد على معيار معدل متوسط مربعات الخطأ (Mean Average Squares Error) كأحد معايير المقارنة بين الطرائق. واثب

Research aims to know the impact beyond the defined in the collection. The research community is the second school students at Baghdad University and a research sample (63) students, the number of experimental group (27) students and a control group (30) students.  The researcher was rewarded in variable lifetime for students and educational attainment and educational level of the parents and the educational level of mothers. The researcher has developed a test took the number of paragraphs (20).  A test was true after it has been submitted to the Group of arbitrators. The test was consistent with test method used and the reliability coefficient (0, 88). Either the statistical methods used by the researcher are: Pearson correla

In this research the Empirical Bayes method is used to Estimate the affiliation parameter in the clinical trials and then we compare this with the Moment Estimates for this parameter using Monte Carlo stimulation , we assumed that the distribution of the observation is binomial distribution while the distribution with the unknown random parameters is beta distribution ,finally we conclude that the Empirical bayes method for the random affiliation parameter is efficient using Mean Squares Error (MSE) and for different Sample size .

Abstract

       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 he

We have studied Bayesian method in this paper by using the modified exponential growth model, where this model is more using to represent the growth phenomena. We focus on three of prior functions (Informative, Natural Conjugate, and the function that depends on previous experiments) to use it in the Bayesian method. Where almost of observations for the growth phenomena are depended on one another, which in turn leads to a correlation between those observations, which calls to treat such this problem, called Autocorrelation, and to verified this has been used Bayesian method.

The goal of this study is to knowledge the effect of Autocorrelation on the estimation by using Bayesian method. F