Authors:

NI PUTU NIA IRFAGUTAMI, I GUSTI AYU MADE SRINADI, I WAYAN SUMARJAYA

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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PDF:

https://jurnal.harianregional.com/mtk/full-9605

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://jurnal.harianregional.com/mtk/id-9605. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2014.v03.i02.p065.

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Issue

Vol 3 No 2 (2014)

Section

Articles

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