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Comparison of Estimates Nonparametric In Multiple Regression Analysis Function (Gamma ,Beta)
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The use of non-parametric models and subsequent estimation methods requires that many of the initial conditions that must be met to represent those models of society under study are appropriate, prompting researchers to look for more flexible models, which are represented by non-parametric models                  

          In this study, the most important and most widespread estimations of the estimation of the nonlinear regression function were investigated using Nadaraya-Watson and Regression Local Ploynomial, which are one of the types of non-linear capabilities and using Gamma Kernel, Beta Kernel functions          

     compared with the Monti-Carlo simulation method Different variations and sizes of different samples.                                                                                               

        The simulation results using the Monti-Carlo method showed that the best estimate was Nadaraya-Watson and for all cases.                                                 

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Publication Date
Tue Jan 01 2008
Journal Name
رسالة ماجستير
دراسة مقارنة بين الشكلين الحلزوني والمكور في بكتريا ال Helicobacter pylori
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Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
(الخمرة بين عصرين في شعر ابن حمديس وابي نؤاس(دراسة مقارنة
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Publication Date
Thu Mar 01 2007
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة الأساليب المستخدمة في تحديد عدد المركبات الرئيسية مع التطبيق العملي
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The principal components analysis is used in analyzing many economic and social phenomena; and one of them is related to a large group in our society who are the university instructors. This phenomenon is the delay occurred in getting university instructor to his next scientific title. And as the determination of the principal components number inside the principal components depends on using many methods, we have compared between three of these methods that are: (BARTLETT, SCREE DIAGRAM, JOLLIFFE).

     We concluded that JOLLIFFE method was the best one in analyzing the studying phenomenon data among these three methods, we found the most distinguishing factors effecting on t

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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
Cleopatra between the western and Arabic literature
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Publication Date
Thu Mar 30 2023
Journal Name
مجلة الحقيقة
القوة القاهرة المؤقتة واثرها في تنفيذ العقد ـ دراسة مقارنة ـ
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Publication Date
Thu Jul 21 2022
Journal Name
Al-academy
التوظيف الديني والاجتماعي في نتاجات الفنان برويكل والفنان بوش دراسة مقارنة
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كثيرة هي التداعيات التي تمكن قراءتها عكسياً لفهم الثيمات المحركة لعصر بعينه في المدة والمكان المحددين، ولاسيما أن الفن لا يقتصر على كونه مرآة العصر فحسب ، بل يتعدى ذلك لقياس نبض وميكانزم العصر وتنبؤاته المستقبلية إن عصر النهضة يشكل بحق أهم المثابات التي مرت بها أوروبا عبر تاريخها، وإن هذا البحث يلقي الضوء على إثنين من الفنانين ممن لم تسعفنا التراجم في التعريف بهما وعن الدور الذي لعباه في بواعث ا
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Publication Date
Sat Mar 01 2014
Journal Name
Journal Of The College Of Languages (jcl)
Comparación entre los dos gigantes de la literatura universal "Miguel de Cervantes y William Shakespeare"
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The literature in general, such as the spanish literature as british literature presence lot of literary figures giant that managed its continuing work that leaves lasting impression and clear in all fields of literary world throughout history, among these writers giants can remind great writer spanish (Miguel de Cervantes) and the great british writer (William Shakespeare), this study is about them.

We can say that there are a lot of studies , works and gossip , whether literary or non- literary show how the close relationship that bound both Cervantes and William Shakespeare, although they did not meet personally never, it was not able to critics that the sweep of the differences and similarities that was between the two, becau

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Publication Date
Tue Mar 15 2022
Journal Name
Al-academy
Dramatic function of temporal variables in the feature film
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Time and space are indispensable basics in cinematic art. They contain the characters, their actions and the nature of events, as well as their expressive abilities to express many ideas and information. However, the process of collecting space and time in one term is space-time, and it is one of Einstein’s theoretical propositions, who sees that Time is an added dimension within the place, so the study here differs from the previous one, and this is what the researcher determined in the topic of his research, which was titled (The Dramatic Function of Space-Time Variables in the Narrative Film), Which included the following: The research problem, which crystallized in the following question: What is the dramatic function of the tempor

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Publication Date
Sun Dec 10 2017
Journal Name
Al-academy
Form and function in the design of intellectual toys
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Playing is the only common language among children in every place and time, to the fact that what distinguishes the children is their quest to play and fun way innate, not acquired, which is expressed with the child really is one of the rights. And play a key entrance to the growth of the child mentally, intellectually and cognitively and not for the child emotionally and socially just. In the play the child begins to identify and classify objects and learn concepts and circulate among themselves on a linguistic basis. Activity here and play a major role in leading the linguistic development of the child in the composition has the communication skills.

The Games (especially intellectual ones) Whatever the cause of the development

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Publication Date
Mon Sep 30 2024
Journal Name
Joiv : International Journal On Informatics Visualization
Evaluation of the Performance of Kernel Non-parametric Regression and Ordinary Least Squares Regression
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Researchers need to understand the differences between parametric and nonparametric regression models and how they work with available information about the relationship between response and explanatory variables and the distribution of random errors. This paper proposes a new nonparametric regression function for the kernel and employs it with the Nadaraya-Watson kernel estimator method and the Gaussian kernel function. The proposed kernel function (AMS) is then compared to the Gaussian kernel and the traditional parametric method, the ordinary least squares method (OLS). The objective of this study is to examine the effectiveness of nonparametric regression and identify the best-performing model when employing the Nadaraya-Watson

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