PERBANDINGAN REGRESI ROBUST PENDUGA MM DENGAN METODE RANDOM SAMPLE CONSENSUS DALAM MENANGANI PENCILAN

  • NI PUTU NIA IRFAGUTAMI Faculty of Mathematics and Natural Sciences, Udayana University
  • I GUSTI AYU MADE SRINADI Faculty of Mathematics and Natural Sciences, Udayana University
  • I WAYAN SUMARJAYA Faculty of Mathematics and Natural Sciences, Udayana University

Abstract

The presence of outliers in observation can result in biased in parameter estimation using ordinary least square (OLS). Robust regression MM-estimator is one of the estimations methods that able to obtain a robust estimator against outliers. Random sample consensus (ransac) is another method that can be used to construct a model for observations data and also estimating a robust estimator against outliers. Based on the study, ransac obtained model with less biased estimator than robust regression MM-estimator.

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Author Biographies

NI PUTU NIA IRFAGUTAMI, Faculty of Mathematics and Natural Sciences, Udayana University

Jurusan Matematika FMIPA Universitas Udayana, Bukit Jimbaran-Bali

I GUSTI AYU MADE SRINADI, Faculty of Mathematics and Natural Sciences, Udayana University

Jurusan Matematika FMIPA Universitas Udayana, Bukit Jimbaran-Bali

I WAYAN SUMARJAYA, Faculty of Mathematics and Natural Sciences, Udayana University

Jurusan Matematika FMIPA Universitas Udayana, Bukit Jimbaran-Bali

Published
2014-05-31
How to Cite
IRFAGUTAMI, NI PUTU NIA; SRINADI, I GUSTI AYU MADE; SUMARJAYA, I WAYAN. PERBANDINGAN REGRESI ROBUST PENDUGA MM DENGAN METODE RANDOM SAMPLE CONSENSUS DALAM MENANGANI PENCILAN. E-Jurnal Matematika, [S.l.], v. 3, n. 2, p. 45 - 52, may 2014. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/9605>. Date accessed: 26 may 2020. doi: https://doi.org/10.24843/MTK.2014.v03.i02.p065.
Section
Articles

Keywords

Outlier; Robust Regression; MM-estimate; ransac

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