Abstract
The study is the product of an on-line session with Oregon University. It aims
at developing the students’ attitudes toward using computers in learning to get the
advantages of CALL and autonomous learning. The researcher has depended on a
one-group design of a pre-scale and post-scale to measure the effect due to exposure
to computer using.

               In this research, the semiparametric Bayesian method is compared with the classical  method to  estimate reliability function of three  systems :  k-out of-n system, series system, and parallel system. Each system consists of three components, the first one represents the composite parametric in which failure times distributed as exponential, whereas the second and the third components are nonparametric ones in which reliability estimations depend on Kernel method using two methods to estimate bandwidth parameter h method and Kaplan-Meier method. To indicate a better method for system reliability function estimation, it has be

This research aims to study the methods of reduction of dimensions that overcome the problem curse of dimensionality when traditional methods fail to provide a good estimation of the parameters So this problem must be dealt with directly . Two methods were used to solve the problem of high dimensional data, The first method is the non-classical method Slice inverse regression ( SIR ) method and the proposed weight standard Sir (WSIR) method and principal components (PCA) which is the general method used in reducing dimensions,    (SIR ) and (PCA) is based on the work of linear combinations of a subset of the original explanatory variables, which may suffer from the problem of heterogeneity and the problem of linear

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

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

 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

The Log-Logistic distribution is one of the important statistical distributions as it can be applied in many fields and biological experiments and other experiments, and its importance comes from the importance of determining the survival function of those experiments. The research will be summarized in making a comparison between the method of maximum likelihood and the method of least squares and the method of weighted least squares to estimate the parameters and survival function of the log-logistic distribution using the comparison criteria MSE, MAPE, IMSE, and this research was applied to real data for breast cancer patients. The results showed that the method of Maximum likelihood best in the case of estimating the paramete

يھدف البحث الى اجراء تقدير دالة المعولية لتوزيــع ويبل ذي المعلمتين بالطرائـق المعلميــة والمتمثلة بـ (NWLSM,RRXM,RRYM,MOM,MLM (، وكذلك اجراء تقدير لدالة المعولية بالطرائق الالمعلمية والمتمثلة بـ . (EM, PLEM, EKMEM, WEKM, MKMM, WMR, MMO, MMT) وتم استخدام اسلوب المحاكاة لغرض المقارنة باستخدام حجوم عينات مختلفة (20,40,60,80,100) والوصول الى افضل الطرائق في التقدير باالعتماد على المؤشر االحصائي متوسط مربعات الخطا التكاملي (IMSE(، وقد توصل البحث الى

تهتم الدراسة بالخصائص الكمية المتمثلة بالتركيب النوعي والعمري للسكان الاميين في محافظة بغداد على مستوى قضاء وحسب تعداد عام 1997، ومسح الامن الغذائي والهشاشة للأسرة في العراق لعام 2016، فضلا عن احصائيات الجهاز التنفيذي لمحو الامية لعام 2019، وقد اعتمدت الدراسة على السكان الاميين من عمر عشر سنوات فأكثر وعلى الفئات العمرية العشرية، اوضحت الدراسة بأن نسبة النوع للسكان الاميين للأعوام الثلاثة قد جاءت منخفضة على