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   The technology of reducing dimensions and choosing variables are very important topics in statistical analysis to multivariate. When two or more of the predictor variables are linked in the complete or incomplete regression relationships, a problem of multicollinearity are occurred which consist of the breach of one basic assumptions of the ordinary least squares method with incorrect estimates results.

 There are several methods proposed to address this problem, including the partial least squares (PLS), used to reduce dimensional regression analysis. By using linear transformations that convert a set of variables associated with a high link to a set of new independent variables and unr

The research dealt with a comparative study between some semi-parametric estimation methods to the Partial linear Single Index Model using simulation. There are two approaches to model estimation two-stage procedure and MADE to estimate this model. Simulations were used to study the finite sample performance of estimating methods based on different Single Index models, error variances, and different sample sizes , and the mean average squared errors were used as a comparison criterion between the methods were used. The results showed a preference for the two-stage procedure depending on all the cases that were used

In this research, some robust non-parametric methods were used to estimate the semi-parametric regression model, and then  these methods were compared using the MSE comparison criterion, different sample sizes, levels of variance, pollution rates, and three different models were used. These methods are S-LLS S-Estimation -local smoothing, (M-LLS)M- Estimation -local smoothing, (S-NW) S-Estimation-NadaryaWatson Smoothing, and (M-NW) M-Estimation-Nadarya-Watson Smoothing.

The results in the first model proved that the (S-LLS) method was the best in the case of large sample sizes, and small sample sizes showed that the

Transforming the common normal distribution through the generated Kummer Beta model to the Kummer Beta Generalized Normal Distribution (KBGND) had been achieved. Then, estimating the distribution parameters and hazard function using the MLE method, and improving these estimations by employing the genetic algorithm. Simulation is used by assuming a number of models and different sample sizes. The main finding was that the common maximum likelihood (MLE) method is the best in estimating the parameters of the Kummer Beta Generalized Normal Distribution (KBGND) compared to the common maximum likelihood according to Mean Squares Error (MSE) and Mean squares Error Integral (IMSE) criteria in estimating the hazard function. While the pr

            In this paper the research represents an attempt of expansion in using the parametric and non-parametric estimators to estimate the median effective dose ( ED50 ) in the quintal bioassay and comparing between  these methods . We have Chosen three estimators for Comparison. The first estimator is
( Spearman-Karber )  and the second estimator is ( Moving Average ) and The Third estimator  is ( Extreme Effective Dose ) . We used a minimize Chi-square as a parametric method. We made a Comparison for these estimators by calculating the mean square error of (ED50) for each one of them and comparing it with the optimal the mean square

ملخـــص البحــــث

اختصر الامام ابن الحاجب كتاب الاحكام في اصول الاحكام للإمام الامدي بكتاب اوسمه بمنتهى السول وخالف به الامام ابن الحاجب الامام الامدي بمسائل كثيرة فجمعت ما خالفه به في الاجماع ليكون بحثا متواضعا عسى الله ان ينفع به

وقسمته الى مبحثين: المبحث الاول وفيه ثلاثة مطالب : المطلب الاول تناولت فيه (حياة الامام ابن الحاجب) والمطلب الثاني تناولت فيه (حياة الامام الامدي) والمطلب الثال

المستخلص يهدف البحث إلى تحديد دور ألإدارة الخضراء للموارد البشرية بأبعاده المتمثلة في (التوظيف ألأخضر, التدريب والتطوير ألأخضر, تقييم ألإداء ألأخضر , التعويضات والمكافئات الخضراء) في ألإداء الريادي للمنظمة بأبعاده المتمثلة في ( التخطيط المسبق, الكفاءة, الفاعلية, المؤشر الريادي, التجديد والتحديث ) .  لذا يحتل البحث أهمية بالغة لكونه يعالج مسألة مهمة وحديثة في ألإداء الريادي, ألا وهي ألإدارة الخضراء

Competitive swimming is a highly researched area and technological developments have aided advances in the understanding of the biomechanical principles that underpin these elements and govern propulsion. Moreover, those working in the sports field especially in swimming are interested in studying, analyzing, evaluating and developing motor skills by diagnosing the strengths and weaknesses of the skill, and accordingly, coaches and specialists correct these errors. The researchers chose this (Butterfly swimming) and the (arm length) is an important variable because the success of the stroke is greatly dependent on the propulsion generated from the arm pull, and swimmers with a longer arm span have a mechanical advantage with the resulting f

هدف المقال الكشف عن تأثير استراتيجيات إدارة الموارد البشرية بأبعادها)استراتيجية األداء العالي، استراتيجية االلتزام العالي، استراتيجية االندماج العالي( في تحسين المعرفة الرقمية بأبعادها )االبداع والمبادرة، تكنولوجيا المعلومات، الموارد، المشاركة والتعاون، الجودة( في وزارة العلوم والتكنولوجيا. تم اختيار المنهج الوصفي التحليلي االستطالعي نظرا لكونه األكثر مالءمة للبحث ً الحالي، واستبانة وزعت على مجتمع ال