ملخـــص البحــــث

   مما لا شك فيه أن أحكام الشريعة معلله , وهذا التعليل هو تخفيف من الله ورحمة لعباده , حتى يبينوا علل الأحكام الوارد فيها نص أحكاما أخرى لأمور لم يرد فيها نص , وهذا ما يعرف بالقياس وهو باب عظيم من أبواب الاجتهاد الإسلامي ,  لذلك كان تعليل الأحكام الشرعية شائع ومألوف بين الفقهاء , وكان للتعليل مكانة خاصة عند فقهاء الحنفية فلم يتركوا أحكامهم سائبة بلا تعليل , معتمدين ف

تتلخص مشكلة البحث في ان اغلب المناهج التدريبية لا تعطي اهتماما كبير لتدريبات تطوير القدرات البدنية العامة، ولا تفرغ لها مساحة كبيرة في المناهج التدريبية، هدف البحث - التعرف على تأثير تدريبات استراتيجيات ما بعد عدم التمكن في تطوير بعض القدرات البدنية لعينة البحث. واقترض الباحث ان هناك فروق ذات دلالة احصائية بين الاختبارات القبلية والبعدية لمجموعتي البحث، وبين الاختبارات البعدية للمجموعتين. وتكونت عينة

Abstract

The multiple linear regression model of the important regression models used in the analysis for different fields of science Such as business, economics, medicine and social sciences high in data has undesirable effects on analysis results . The multicollinearity is a major problem in multiple linear regression. In its simplest state, it leads to the departure of the model parameter that is capable of its scientific properties, Also there is an important problem in regression analysis is the presence of high leverage points in the data have undesirable effects on the results of the analysis , In this research , we present some of

Abstract :

          Researchers have great interest in studying the black box models this thesis has been focused in the study one of the black box models , a ARMAX model which is one of the important models and can be accessed through a number of special cases which models (AR , MA , ARMA, ARX) , which combines method of the time series that depend on historical data and and regression method as explanatory variables addition to that past errors , ARMAX model importance has appeared in many areas of application that direct contact with our daily lives , it consists of constructing ARMAX model several traditional stages of the process , a iden

اختط رواد السينما الوثائقية ومنذ البدايات الاولى ، طريق خاص في تعاملهم مع عناصر اللغة السينمائية من جهة وطرح القصة او الحكاية الفلمية من جهة اخرى، فعناصر اللغة السينمائية اقتصرت على عملية النقل المباشر وتصوير الافعال دون امكانية التحكم بها مع الابتعاد عن ااي توظيف للمؤثرات الصورية وما ينتج عنها من خداع وايهام او تكوين بناء جمالي تشكيلي يلعب النص الضوئي دور في إظهاره، اما على مستوى القصة فأن التعامل يكون مع

صورة المراة في رواية (متساوون ومتساوون اكثر) للروائي الاسرائيلي العراقي الاصل ( سامي ميخائيل ) هو صورة المرأة اليهودية في زمن الهجرة و الدمار ، صوت مرتفع تجسده شخصيات الرواية النسوية، في محاولة لإيقاظ المجتمع الاسرائيلي وتنبيهه في اتجاه الظلم الكبير الذي عانت منه المرأة ، وتحديدا – المرأة اليهودية العراقية - في ظل تناقضات هذا المجتمع وسلبياته. و الصوت الأنثوي في الرواية يفصح - بشكل لافت - عن عالم المرأة

Contemporary life is racing against time in its temptations and variables, and it has become shaped and changed in an amazing way in its various aspects and fields. This was facilitated by intellectual and scientific communication between civilizations, and the rapid progression in successive inventions and discoveries in the fields of science and arts of knowledge. This contributed to a great economic and commercial renaissance. Then, these economic developments entered the world into a very strong competition, which forced producers to calculate all production costs, to reach the highest profits by reducing the price of the produced commodity on the one hand, and achieving quality in appearance (especially) on the other hand. Since the ma

 The logistic regression model of the most important regression models a non-linear which aim getting estimators have a high of efficiency, taking character more advanced in the process of statistical analysis for being a models appropriate form of Binary Data.                                                          

Among the problems that appear as a result of the use of some statistical methods I

Support vector machines (SVMs) are supervised learning models that analyze data for classification or regression. For classification, SVM is widely used by selecting an optimal hyperplane that separates two classes. SVM has very good accuracy and extremally robust comparing with some other classification methods such as logistics linear regression, random forest, k-nearest neighbor and naïve model. However, working with large datasets can cause many problems such as time-consuming and inefficient results. In this paper, the SVM has been modified by using a stochastic Gradient descent process. The modified method, stochastic gradient descent SVM (SGD-SVM), checked by using two simulation datasets. Since the classification of different ca

              The current paper proposes a new estimator for the linear regression model parameters under Big Data circumstances.  From the diversity of Big Data variables comes many challenges that  can be interesting to the  researchers who try their best to find new and novel methods to estimate the parameters of linear regression model. Data has been collected by Central Statistical Organization IRAQ, and the child labor in Iraq has been chosen as data. Child labor is the most vital phenomena that both society and education are suffering from and it affects the future of our next generation. Two methods have been selected to estimate the parameter