The search is contain compared among some order selection criteria  (FPE,AIC,SBC,H-Q) for the Model first order  Autoregressive when the White Noise is follow Normal distribution and some of non Gaussian distributions (Log normal, Exponential and Poisson distribution ) by using Simulation  

In linear regression, an outlier is an observation with large residual.  In other words, it is an observation whose dependent-variable value is unusual given its values on the predictor variables. An outlier observation may indicate a data entry error or other problem.

An observation with an extreme value on a predictor variable is a point with high leverage. Leverage is a measure of how far an independent variable deviates from its mean. These leverage points can have an effect on the estimate of regression coefficients.

Robust estimation for regression parameters deals with cases that have very high leverage, and cases that are outliers. Robust estimation is essentially a

Use of lower squares and restricted boxes
In the estimation of the first-order self-regression parameter
AR (1) (simulation study)

The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be  used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto  type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

In this research work an attempt has been made to investigate about the Robustness of the Bayesian Information criterion to estimate the order of the autoregressive process when the error of this model,  Submits to a specific distributions and different cases of the time series on various size of samples by using the simulation,  This criterion has been studied by depending on ten distributions, they are (Normal, log-Normal, continues uniform, Gamma , Exponential, Gamble, Cauchy, Poisson, Binomial, Discrete uniform) distributions, and then it has been reached to many collection and recommendations related to this object , when the series residual variable is subject to each  ( Poisson , Binomial , Exponential , Dis

تقدير النموذج اللوجستي باستخدام اوزان بيز المتسلسل

In this paper we will explain ,how use Bayesian procedure in analysis multiple linear regression model with missing data in variables X's  as the new method suggest , and explain some of missing  Patterns under missing mechanism , missing complete at random MCAR and compare Bayesian estimator with complete case estimator by use  simulation procedure .           

The Iraqi non profit governmental units are facing great financing challenges in providing the money required for reconstructing the damages occurred after 9^th of April 2003.

Related to that, This research, which is contained of studying the self – financing experiment in non profit governmental units which is considered one of the financing alternatives that contribute in providing the required money to meet the shortage of central finance; and creating the economic exploitation for the resources and possibilities achieved by the non profit governmental units themselves for the purpose of employ them in reconstruction and to reduce the burden on the public budget which is responsible of fin

يهدف هذا البحث الى معرفة دور وتأثير برامج المشاركة في مقدرات الموارد البشرية ، ولغرض قياس ذلك فقد تم تحديد ابعاد هذين المتغيرين من خلال الاعتماد على مقاييس لهذا الغرض، وتم اختيار وزارة التعليم العالي والبحث العلمي/ جهاز الاشراف والتقويم العلمي كونها من الدوائر المهمة في الوزارة ويضم عدد كبير من الافراد في مستويات تنظيمية مختلفة لغرض الاجابة على الاستبانة التي اعدت لغرض القياس والوصول الى النتائج وتحقيق

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 .