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تطبيق أنموذج المؤشر المنفرد شبه المعلمي على بيانات كمية المنتجات النفطية البيضاء
Other Title(s)
Application of semi-parametric single index model on the quantitative data of white oil products
Joint Authors
Source
Issue
Vol. 42, Issue 118 (28 Feb. 2019), pp.295-308, 14 p.
Publisher
al-Mustansiriyah University College of Management and Economic
Publication Date
2019-02-28
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Business Administration
Economy and Commerce
Topics
Abstract EN
The Semi-Parametric Single Index Model has been studied and its parameters have been estimated by using The Weighted Average Derivative Estimation Method (WADE), and The Link function has also been studied by using (Natarajan - Watson) Estimation.
In the practical side, a practical application have been made on the data of the oil pipeline company and Building the semi-parametric single index model, The best estimate of the model is chosen by using several different types of Kernel functions based on comparative criteria(R^2, AIC, BIC), The results showed that the best model in the data representation is the semi-parametric single index model (SSIM) in the Quartic function.
Key Word: Semi-Parametric Model, Semi-Parametric Single Index Model Weighted Average Derivative Estimation Method, (Natarajan – Watson) Estimator Kernel function, Bandwidth Parameter, Cross-Validation Criterion
American Psychological Association (APA)
عدي طه رحيم وحبيب صفاء قاسم. 2019. تطبيق أنموذج المؤشر المنفرد شبه المعلمي على بيانات كمية المنتجات النفطية البيضاء. مجلة الإدارة و الاقتصاد،مج. 42، ع. 118، ص ص. 295-308.
https://search.emarefa.net/detail/BIM-1090371
Modern Language Association (MLA)
عدي طه رحيم وحبيب صفاء قاسم. تطبيق أنموذج المؤشر المنفرد شبه المعلمي على بيانات كمية المنتجات النفطية البيضاء. مجلة الإدارة و الاقتصاد مج. 42، ع. 118 (2019)، ص ص. 295-308.
https://search.emarefa.net/detail/BIM-1090371
American Medical Association (AMA)
عدي طه رحيم وحبيب صفاء قاسم. تطبيق أنموذج المؤشر المنفرد شبه المعلمي على بيانات كمية المنتجات النفطية البيضاء. مجلة الإدارة و الاقتصاد. 2019. مج. 42، ع. 118، ص ص. 295-308.
https://search.emarefa.net/detail/BIM-1090371
Data Type
Journal Articles
Language
Arabic
Notes
-
Record ID
BIM-1090371