The multiple linear regression model is an important regression model that has attracted many researchers in different fields including applied mathematics, business, medicine, and social sciences , Linear regression models involving a large number of independent variables are poorly performing due to large variation and lead to inaccurate conclusions , One of the most important problems in the regression analysis is the multicollinearity Problem, which is considered one of the most important problems that has become known to many researchers  , As well as their effects on the multiple linear regression model, In addition to multicollinearity, the problem of outliers in data is one of the difficulties in constructing the reg

Linear regression is one of the most important statistical tools through which it is possible to know the relationship between the response variable and one variable (or more) of the independent variable(s), which is often used in various fields of science. Heteroscedastic is one of the linear regression problems, the effect of which leads to inaccurate conclusions. The problem of heteroscedastic may be accompanied by the presence of extreme outliers in the independent variables (High leverage points) (HLPs), the presence of (HLPs) in the data set result unrealistic estimates and misleading inferences. In this paper, we review some of the robust

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

خضعت العلاقة بين موقف الحساب الجاري, سواء اكان بحالة عجز ام فائض, وسعر الصرف, اكان بحالة انخفاض او ارتفاع, لجدل واسع بين اوساط الاقتصاديين بشأن هذه العلاقة واتجاهاتها.

الا ان الاعتماد المتزايد لبعض الدول على المستثمرين الاجانب لتمويل العجز في حساباتها الجارية قد يصطدم بعدم رغبة هولاء المستثمرون في الاستمرار باقتناء موجودات معينة مقوِِِِِِِِمة بعملات تلك الدول. وتنشأ الطامة الكبرى لاقتصاد

منذ بداية نشوء المستشفيات كمنظمات تعنى بصحة الناس، عُرف الصراع (Conflict) بين جماعتي الإدارة والأطباء. وقد تركز محوره في معظم الأحيان حول سلطة أي منهما هي الأقوى في اتخاذ قرارات المستشفى.. هذا إذا ما علمنا أن كل من الطرفين المتعارضين يستمد قوته ويعزز مكانته من خلال سلطته في اتخاذ القرارات. إن جهود كلا الجماعتين الطبية والإدارية تصب في منهل واحد ألا وهو خدمة المريض والارتقاء بالمستوى الصحي ل

أشارت الجهود المعرفية السابقة إلى وجود اهتمام متزايد بالجماعات (Groups) على أساس أنها اللبنات الأساسية لقيام المنظمات. وقد فرض تعدد المنظمات في المجتمعات المعاصرة وتباينها من حيث أهدافها وطبيعة نشاطها، تجزئة فعالياتها إلى تخصصات عدة على وفق إطار تقسيم العمل، وبما أدى إلى تقسيم الأفراد العاملين إلى جماعات مختلفة في أدائها وأحجامها وشكلها، والتي تعمل جميعها لتحقيق هدف&

In this research, the focus was on estimating the parameters on (min- Gumbel distribution), using the maximum likelihood method and the Bayes method. The genetic algorithmmethod was employed in estimating the parameters of the maximum likelihood method as well as  the Bayes method. The comparison was made using the mean error squares (MSE), where the best  estimator  is the one who has the least mean squared error. It was noted that the best estimator was (BLG_GE).

             In general, researchers and statisticians in particular have been usually used non-parametric regression models when the parametric methods failed to fulfillment their aim to analyze the models  precisely. In this case the parametic methods are useless so they turn to non-parametric methods for its easiness in programming. Non-parametric methods can also used to assume the parametric regression model for subsequent use. Moreover, as an advantage of using non-parametric methods is to solve the problem of Multi-Colinearity between explanatory variables combined with nonlinear data. This problem can be solved by using kernel ridge regression which depend o

الاهمية الاقتصادية للموانىء الحرة مع الاشارة الى المنطقة الاقتصادية الحرة المقترحة في ميناء الفاو

This paper is devoted to the discussion the relationships of connectedness between some types of graphs (resp. digraph) and Gm-closure spaces by using graph closure operators.