International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 29 | Number 1 | Year 2015 | Article Id. IJCTT-V29P121 | DOI : https://doi.org/10.14445/22312803/IJCTT-V29P121

A New Method for Detection and Estimation of Outliers in Multiple Linear Regression Model

Dr. Nabeel George Nacy, Dr.Ghazi. I .Raho, Zrean Salam Ahmed

Citation :

Dr. Nabeel George Nacy, Dr.Ghazi. I .Raho, Zrean Salam Ahmed, "A New Method for Detection and Estimation of Outliers in Multiple Linear Regression Model," International Journal of Computer Trends and Technology (IJCTT), vol. 29, no. 1, pp. 120-128, 2015. Crossref, https://doi.org/10.14445/22312803/IJCTT-V29P121

Abstract

This paper aims to suggest a new method to detect outliers in multiple linear regression model and suggest three new methods to estimating this outliers. The suggested new method to detect outliers depending on the statistic DFSTAT proposed by Beasley et al. (1980) and modified the ellipse equation which proposed by Nacy (2001) and it also suggest three new methods to estimating these outliers according to the methods proposed by Nacy (2001) after modifying.

Keywords

Belsely Nacy , multiple linear regression models , detecting outliers , estimating outliers.

References

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