PERBANDINGAN METODE MCD-BOOTSTRAP DAN LAD-BOOTSTRAP DALAM MENGATASI PENGARUH PENCILAN PADA ANALISIS REGRESI LINEAR BERGANDA

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....

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Bibliographic Details
Main Authors: NI LUH PUTU RATNA KUMALASARI, NI LUH PUTU SUCIPTAWATI, MADE SUSILAWATI
Format: Article
Language:English
Published: Universitas Udayana 2017-01-01
Series:E-Jurnal Matematika
Subjects:
Bootstrap
Least Absolute Deviation (LAD)
Minimum Covariance Determinant (MCD)
Outliers
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/27181

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