Application of semi-parametric single index model on the quantitative data of white oil products
Abstract
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 , 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 .
Downloads
Published
Issue
Section
License
The journal of Administration & Economics is an open- access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowedto search, download, share, distribute, print, or link to the full text of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY) 
