Statistical Inference for some Robust Regression Estimators
الأعصر, Ù. (2016). Statistical Inference for some Robust Regression Estimators. EKB Journal Management System, 38(2), 23-46. doi: 10.21608/zcom.2016.131188
مشيرة عادل سليمان الأعصر. "Statistical Inference for some Robust Regression Estimators". EKB Journal Management System, 38, 2, 2016, 23-46. doi: 10.21608/zcom.2016.131188
الأعصر, Ù. (2016). 'Statistical Inference for some Robust Regression Estimators', EKB Journal Management System, 38(2), pp. 23-46. doi: 10.21608/zcom.2016.131188
الأعصر, Ù. Statistical Inference for some Robust Regression Estimators. EKB Journal Management System, 2016; 38(2): 23-46. doi: 10.21608/zcom.2016.131188

Statistical Inference for some Robust Regression Estimators

مجلة البحوث التجارية
Article 26, Volume 38, Issue 2, July 2016, Page 23-46  XML PDF (686.11 K)
Document Type: تجاریة کل ما یتعلق بالعلوم التجاریة
DOI: 10.21608/zcom.2016.131188
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Author
مشيرة عادل سليمان الأعصر*
قسم الرياضة والإحصاء والتأمين، کلية التجارة، جامعة الزقازيق، مصر
Abstract
Abstract
The method of least squares of the most commonly used methods for estimating the parameters of linear regression models,this method requires the availability of several assumptions for the capabilities more efficiently. So robust methods can be used to give better results than OLS when there are outliers. This research discussessome robust regression approach and inference for M-estimators. Empirical study illustrates that robust methods aremore efficiency compare the OLS, when the data contain outliers.
 
Keywords
Keywords:Bootstrap; Linear Regression; M- estimators; Outliers; Robust Inference; Statistical Inference
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