Nonparametric methods are used in the data that contain outliers values. The main importance in using Nonparametric methods is to locate the median in the multivariate regression model. It is difficult to locate the median due to the presence of more than one dimension and the dispersion of values and the increase of the studied phenomenon data.The genetic algorithms Minimum Weighted Covariance Determinant Estimator (MWCD), was applied and compared with the multilayer neural network Back propagation to find the estimate of the median location based on the minimum distance (Mahalanobis Distance) and smallest specified for the variance matrix. Joint Minimum Covariance Determinant (MCD) as one of the most nonparametric methods robust. The study has been applied on environmental pollution statistics of drinking water for the year (2013) including all the Iraqi provinces except Kurdistan region, divided into (10) months.To determine the contaminating indicators, Smoothing Spline slides were used to estimate the multivariate regression model parameters for the time – variable parameters. The parameters smoothed by the cross validation (CV) method were estimated the results of the comparison proved the effectiveness of the retrospective Multi – Layer neural network
Abstract
Objectives: To find out the association between enhancing learning needs and demographic characteristic of (gender, education level and age).
Methods: This study was conducted on purposive sample was selected to obtain representative and accurate data consisting of (90) patients who are in a peroid of recovering from myocardial infarction at Missan Center for Cardiac Diseases and Surgery, (10) patients were excluded for the pilot study, Data were analyzed using descriptive statistical data analysis approach of frequency, percentage, and analysis of variance (ANOVA).
Results: The study finding shows, there was sign
... Show MoreThis research deals with parameters estimation methods for the intensity function of non homogeneous poisson processes , it aims to estimate parameters of this function throughout three methods which are maximum likelihood method , moment method and shurnkage method using simulation method.
In order to achive the best method, several assumed values for parameters of intensity function have been adopted using sample size of
(14, 25, 50, 100) .Results of estimation showed that the estimation over the estimation method , of maximum likelihood and moment .
This estimation gain the least mean of squares error for the above samples .
&nbs
... Show More
This work is devoted to a comparative study of the phenomenon of enantiosemy in Russian and Arabic.Everyone knows the term antonyms - words of the same part of speech, opposite in meaning, such as: Day and night, white and black, truth and lies. But in Russian, Arabic and other languages there is an interesting phenomenon, which consists in the fact that one word has two opposite meanings. Such a phenomenon in linguistics is called enantiosemy (from the Greek words enantios - "opposite" and sema - "sign")
لاصطلام في الخلاف بين الإمامين الشافعي وأبي حنيفة للشيخ الامام منصور بن محمد بن عبد الجبار المروزي السمعاني أبي المظفر(ت498هـ) من مسألة (إذا تزوج الكافر أختين أو أكثر، من أربع نسوة ، ثم أسلم وأسلمن معه
-دراسة وتحقيق-
اعداد
أ0م0د0قصي سعيد احمد
جامعة بغداد/ كلية العلوم الاسلامية
قسم الشريعة/ فقه مقارن