تكمن مشكلة البحث بان المؤسسات عامةـ والتعليمية منها خاصةفي الوقت الحاضرتواجه ظروف بيئيةتفرض عليها حتمية التغيير ، وذلك بسبب التحولاتالتي تحدثفي عالمناالحالي سواءًكان على المستوىالمحلي أو العالمي أو على المستوىالمؤسسة نفسها مما يجعلمؤسساتنا التربويةبحاجةملحةلمواجهة هذا التغيير القادم وذلك من خلال معالجةالمشكلاتالتي قد تظهر بطرق مبتكرة وابداعية مغايرةللطرقالتقليدية ،وذلك من خلال تهيئة المناخ الت

تلخصت مشكلة البحث في قلة الاهتمام بالجانب النفسي في العاب الاولمبياد الخاص وينصب الجهد والاهتمام باتجاه الالعاب الرياضية التخصصية وصولا للإنجاز مما حدى بالباحثة الى وضع برنامج ترويحي يهدف الى تطوير مهارات السلوك التكيفي والسلوك التكيفي عموماً للأفراد من ذوي الاعاقة العقلية في الأولمبياد الخاص العراقي، وقد هدفت الدراسة الى وضع برنامج ترويحي بالألعاب الصغيرة لذوي الاعاقة العقلية في الاولمبياد الخاص ا

الغرض من البحث دراسة تأثير ادارة المعرفة (استراتيجية الشخصنة والترميز) في تحقيق التفوق الاستراتيجي في بيئة المصارف الاهلية العراقية ، وتم اعتماد منهج البحث الوصفي والتحليلي ، لذا اعتمد الباحث الفلسفة الوضعية وفق المنهج الاستنباطي لغرض اشتقاق فرضية البحث الاولى من الجانب النظري وتوصل البحث الى مجموعة من النتائج اهمها ان استراتيجية الشخصنة حققت تقدماً كبيراً في قدرتها على التأثير في التفوق الاستراتيجي بوصف

The present study aimed at identifying the level of psychological alienation and motivation of achievement among the incoming teachers in the schools of Dhofar Governorate in the Sultanate of Oman a well as to explore the correlation relationship between psychological alienation and motivation of achievement. The sample of the study consisted of (238) expatriated teachers from Al- Dhofar Governorate in Oman who were selected randomly. The psychological alienation scale and the motivation of achievement scale for teachers were used by researchers and were conducted electronically by google forms. The data were processed statistically using the Statistical Package for Social Sciences (SPSS). The results showed that the level of psy

Estimation of the tail index parameter of a one - parameter Pareto model has wide important by the researchers because it has awide application in the econometrics science and reliability theorem.

Here we introduce anew estimator of ^"generalized median" type and compare it with the methods of Moments and Maximum likelihood by using the criteria, mean square error.

 The estimator of generalized median type performing best over all.

 A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors, the Ordinary least Squares (LS) ,Ridge Regression, Ridge Least Absolute Value (RLAV), Weighted Ridge (WRID), MM and a robust ridge regression estimator MM estimator, which denoted as RMM this is the modification of the Ridge regression by incorporating robust MM estimator . finialy, we show that RMM is the best among the other estimators

In this paper, we will provide a proposed method to estimate missing values for the Explanatory variables for Non-Parametric Multiple Regression Model and compare it with the Imputation Arithmetic mean Method, The basis of the idea of this method was based on how to employ the causal relationship between the variables in finding an efficient estimate of the missing value, we rely on the use of the Kernel estimate by Nadaraya – Watson Estimator , and on Least Squared Cross Validation (LSCV) to estimate the Bandwidth, and we use the simulation study to compare between the two methods.

Abstract:

One of the important things provided by fuzzy model is to identify the membership functions. In the fuzzy reliability applications with failure functions of the kind who cares that deals with positive variables .There are many types of membership functions studied by many researchers, including triangular membership function, trapezoidal membership function and bell-shaped membership function. In I research we used beta function. Based on this paper study classical method to obtain estimation fuzzy reliability function for both series and parallel systems.

This paper  deals  to how to estimate points non measured spatial data when the number of its terms (sample spatial) a few, that are not preferred for the estimation process, because we also know that whenever if the data is large, the estimation results of the points non measured to be better and thus the variance estimate less, so the idea of this paper is how to take advantage of the data other secondary (auxiliary), which have a strong correlation with the primary data (basic) to be estimated single points of non-measured, as well as measuring the variance estimate, has been the use of technique Co-kriging in this field to build predictions spatial estimation process, and then we applied this idea to real data in th

In this article we  study a single stochastic process model for the evaluate the assets pricing and stock.,On of the models le'vy . depending on the so –called Brownian subordinate as it has been depending on the so-called Normal Inverse Gaussian (NIG). this article aims as the estimate that the parameters of his model using my way (MME,MLE) and then employ those  estimate of the parameters is the study of stock returns and evaluate asset pricing for both the united Bank and Bank of North which their data were taken from the Iraq stock Exchange.

which showed the results to a preference MLE on MME based on the standard of comparison the average square e