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Robust regression analysis using re-descending M and MM estimators based on modified Cauchy function
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Journal of Applied & Computational Mathematics

ISSN: 2168-9679

Open Access

Robust regression analysis using re-descending M and MM estimators based on modified Cauchy function


4th International Conference and Exhibition on Biometrics & Biostatistics

November 16-18, 2015 San Antonio, USA

Khalaf S Sultan

King Saud University, Saudi Arabia

Posters-Accepted Abstracts: J Appl Computat Math

Abstract :

The author has proposed the modified Cauchy function that can be used to develop re-descending M and MM estimators in robust regression. The proposed modified Cauchy estimator competes with Tukey├ó┬?┬?s bi-weight and Qadir├ó┬?┬?s beta resulting in its enhanced efficiency. In addition, to show the usefulness of the proposed technique, they carry out some Monte Carlo simulation experiments. Further, they apply the findings to some real data set.

Biography :

Email: ksultan@ksu.edu.sa

Google Scholar citation report
Citations: 1282

Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report

Journal of Applied & Computational Mathematics peer review process verified at publons

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