PERBANDINGAN METODE MCD-BOOTSTRAP DAN LAD-BOOTSTRAP DALAM MENGATASI PENGARUH PENCILAN PADA ANALISIS REGRESI LINEAR BERGANDA
Outliers are observations that are far away from other observations. Outlier can be interfered with the process of data analysis which influence the regression parameters estimation. Methods that are able to deal with outliers are Minimum Covariance Determinant and Least Absolute Deviation methods....
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Universitas Udayana
2017-01-01
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Series: | E-Jurnal Matematika |
Subjects: | |
Online Access: | https://ojs.unud.ac.id/index.php/mtk/article/view/27181 |