PERBANDINGAN REGRESI ROBUST PENDUGA MM DENGAN METODE RANDOM SAMPLE CONSENSUS DALAM MENANGANI PENCILAN
| Main Authors: | IRFAGUTAMI, NI PUTU NIA; Faculty of Mathematics and Natural Sciences, Udayana University, SRINADI, I GUSTI AYU MADE; Faculty of Mathematics and Natural Sciences, Udayana University, SUMARJAYA, I WAYAN; Faculty of Mathematics and Natural Sciences, Udayana University |
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| Format: | Article "application/pdf" eJournal |
| Bahasa: | ind |
| Terbitan: |
E-Jurnal Matematika
, 2014
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| Subjects: | |
| Online Access: |
http://ojs.unud.ac.id/index.php/mtk/article/view/9605 |
Daftar Isi:
- 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.