Abstract

       There are many uncertainty sources that may affect the statistical reasoning. However, traditional methods can not deal with all kinds of uncertainty sources, which has led many researchers to develop traditional methods. Studies still exist to this day, making hypotheses to create a common understanding for the purpose of reaching new solutions through the use of new methods that combine traditional and modern theories of sources of uncertainty

       The aim of current study was to develop the adaptive fuzzy linear regression model in the case of using inaccurate data as the source of uncertainty. Specifically, the

إن الأبحاث العلمية كانت و لا تزال تحضا باهتمام الكثير من العلماء و المختصين في مجال التربية الرياضية بشكل عام و الجمناستك بشكل خاص لإيجاد أحدث الوسائل و الأدوات التي تساعد على سهولة توصيل المعلومات إلى المتعلمين و بدرجة عالية من الكفاءة, إذ يمكن للمتعلم الاستعانة بوسائل تعليمية عديدة منها القراءات المختلفة و المواد المبرمجة أو الأفلام و الوسائل السمعية و البصرية و ما إلى ذلك, فالمعلم الذي يستخدم هذه الوسائل

:يمتاز مرض قصور الدرقية بإنخفاض مستوى هرمونات T3و T4الضرورية لعمليات إنتاج الطاقة و حيوية الجسم ؛ لذلك ترافق هذه الحالة إضطرابات في عمليات الأيض المختلفة في الجسم . أجريت الدراسة في المركز التخصصي للغدد الصم و السكري في بغداد ، و شملت 70ًاضيرممن مرضى قصور الدرقية ، تم تشخيص الحالة لديهم عن طريق قياس مستويات الهرمونات (TSH,T4,T3). كما شملت 60اوريتخأًاصخشبشكل عشوائي من غير مرضى الغدة ، و قد تم التأكد من سلامة الغدة وعدم

ان ايجاد وسائل و طرائق تدريبية وتمارين مستحدثة بالاعتماد على مختلف العلوم وانعكاس ذلك على الافكار الجديدة ولعل واحدة من هذه التمارين اسلوب التمرينات الساكيو  (S.A.Q) وتمرينات الساكيو من التمرينات الحديثة المستخدمة في المجال الرياضي كونها تحسن من كفاءة الأداء اما مشكلة البحث لاحظت الباحثتان هناك هبوط في انجاز100م حواجز, وهذا يتطلب التقصي والبحث عن أسباب هذا الهبوط والوقوف على نقاط الضعف الواضحة في مراحل الع

XML is being incorporated into the foundation of E-business data applications. This paper addresses the problem of the freeform information that stored in any organization and how XML with using this new approach will make the operation of the search very efficient and time consuming. This paper introduces new solution and methodology that has been developed to capture and manage such unstructured freeform information (multi information) depending on the use of XML schema technologies, neural network idea and object oriented relational database, in order to provide a practical solution for efficiently management multi freeform information system.

  This research aims to harmonize contemporary and traditional clothes, also expenses and savings. It is done by recycling evening clothes into Clothes with traditional features. The study followed descriptive explanatory approach. The sample consisted of seven dresses, as well as 208 female participants from Makkah Al-Mukarramah province, the age range was between 21 and 65 years old. An electronic questionnaire was distributed and the stability and reliability of the internal consistency were measured.
The research resulted in the ability to recycle evening dresses into modern clothes with traditional characteristics. It also confirmed that the reason of wearing traditional clothes is spirituality of the month of Ramadan. Addi

Abstract

     This research deals with Building A probabilistic Linear programming model  representing, the operation of production in the Middle Refinery Company (Dura, Semawa, Najaif) Considering the demand of each product (Gasoline, Kerosene,Gas Oil, Fuel Oil ).are random variables ,follows certain probability distribution, which are testing by using Statistical programme (Easy fit), thes distribution are found to be Cauchy distribution ,Erlang distribution ,Pareto distribution ,Normal distribution ,and General Extreme value distribution .              &

In this study, the stress-strength model R = P(Y < X < Z)  is discussed as an important parts of reliability system by assuming that the random variables follow Invers Rayleigh Distribution. Some traditional estimation methods are used    to estimate the parameters  namely; Maximum Likelihood, Moment method, and Uniformly Minimum Variance Unbiased estimator and Shrinkage estimator using three types of shrinkage weight factors. As well as, Monte Carlo simulation are used to compare the estimation methods based on mean squared error criteria.  

The aim of this research is to estimate the parameters of the linear regression model with errors following ARFIMA model by using wavelet method depending on maximum likelihood and approaching general least square as well as ordinary least square. We use the estimators in practical application on real data, which were the monthly data of Inflation and Dollar exchange rate obtained from the (CSO) Central Statistical organization for the period from 1/2005 to 12/2015. The results proved that (WML) was the most reliable and efficient from the other estimators, also the results provide that the changing of fractional difference parameter (d) doesn’t effect on the results.