Multivariate Non-Parametric control charts were used to monitoring the data that generated by using the simulation, whether they are within control limits or not. Since that non-parametric methods do not require any assumptions about the distribution of the data.  This research aims to apply the multivariate non-parametric quality control methods, which are Multivariate Wilcoxon Signed-Rank ( ) , kernel principal component analysis (KPCA) and k-nearest neighbor ( −

     The stress(Y) – strength(X) model reliability Bayesian estimation which defines life of a component with strength X and stress Y (the component fails if and only if at any time the applied stress is greater than its strength) has been studied, then the reliability; R=P(Y<X), can be considered as a measure of the component performance. In this paper, a Bayesian analysis has been considered for R when the two variables X and Y are independent Weibull random variables with common parameter α in order to study the effect of each of the two different scale parameters β and λ; respectively, using three different [weighted, quadratic and entropy] loss functions under two different prior functions [Gamma and extension of Jeffery

أخذت مواضيع اللياقة البدنية من اجل الصحة تفرض نفسها على المساحة البحثية بعد ان أصبحت تكون مطلبا مهما وجواباً شافيا للعديد من المشاكل الناتجة عن طبيعة التعامل مع الحياة العصرية الراهنة ,فالإعمال التي كانت تحتاج إلى ساعات من العمل اليدوي أصبحت تنجز بفعل التكنولوجيا الحديثة بظرف دقائق وبوساطة المعدات والآلات . إن قلة حركة الإنسان وزيادة الأعباء الفكرية والضغوط النفسية والجانب النمطي بأسلوب العمل أدى إلى تحديد

               Copulas are simply equivalent structures to joint distribution functions. Then, we propose modified structures that depend on classical probability space and concepts with respect to copulas. Copulas have been presented in equivalent probability measure forms to the classical forms in order to examine any possible modern probabilistic relations. A probability of events was demonstrated as elements of copulas instead of random variables with a knowledge that each probability of an event belongs to [0,1]. Also, some probabilistic constructions have been shown within independent, and conditional probability concepts. A Bay's probability relation and its pro

This paper is concerned with introducing an explicit expression for orthogonal Boubaker polynomial functions with some important properties. Taking advantage of the interesting properties of Boubaker polynomials, the definition of Boubaker wavelets on interval [0,1) is achieved. These basic functions are orthonormal and have compact support. Wavelets have many advantages and applications in the theoretical and applied fields, and they are applied with the orthogonal polynomials to propose a new method for treating several problems in sciences, and engineering that is wavelet method, which is computationally more attractive in the various fields. A novel property of Boubaker wavelet function derivative in terms of Boubaker wavelet themsel

هدفت الدراسة الى التعرف على تأثير التمرينات الخاصة في تطوير بعض القدرات البدنية وأداء المهارات الدفاعية الفردية لدى افراد عينة البحث، اذ أستخدم الباحثان المنهاج التجريبي بتصميم المجموعة الواحدة ذات الاختبار القبلي والبعدي، وأختار الباحثان مجتمع البحث بالطريقة العمدية لاعبي منتخبات تربية في محافظة بغداد وعينة البحث تكونت من لاعبي منتخب تربية الكرخ الأولى والبالغ عددهم (12) لاعباً، وتم اختيار عينة البح

الحمد لله ، والصلاة والسلام على سيدنا محمد رسول الله ، وعلى آله وأصحابه ومن والاه.

 أما بعد:

فقد تبارى العلماء لخدمة ديننا الحنيف، توثيقاً، وتحليلاً، ودراسة، مضافاً للتعريف بالأعلام الذين أسهموا في إرساء معالم الدعوة الإسلامية، وقد تباينت أساليب علمائنا الأفذاذ، فلكل كان منهجه وطريقته، مقصدهم في هذا، حبهم لهذا الدين، والذبّ عن العقيدة، ومن هؤلاء الجهابذة، العلامة عبد الله بن ابراهيم الميرغني ا

 The transfer function model the basic concepts in the time series. This model is used in the case of multivariate time series. As for the design of this model, it depends on the available data in the time series and other information in the series so when the representation of the transfer function model depends on the representation of the data In this research, the transfer function has been estimated using the style nonparametric represented in two method  local linear regression and cubic smoothing spline method The method of semi-parametric represented use semiparametric single index model, With four proposals, , That the goal of this research is comparing the capabilities of the above mentioned m

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 paper , two method which deal with finding the optimal value for adaptive smoothing constant, are compared .This constant is used in adaptive Single Exponential Smoothing (ASES).

The comparing is between a method uses time domain and another uses frequency domain when the data contain outlier value for autoregressive model of order one AR(1) , or Markov Model, when the time series are stationary and non stationary with deferent samples .