A New Method for Detection and Estimation of Outliers in Multiple Linear Regression Model
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2015 by IJCTT Journal | ||
| Volume-29 Number-3 |
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| Year of Publication : 2015 | ||
| Authors : Dr. Nabeel George Nacy, Dr.Ghazi. I .Raho, Zrean Salam Ahmed | ||
| DOI : 10.14445/22312803/IJCTT-V29P121 |
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) V29(3):120-128, November 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
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.
References
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Keywords
Belsely Nacy , multiple linear regression models , detecting outliers , estimating outliers.