ANALISIS MODEL REGRESI NONPARAMETRIK SIRKULAR-LINEAR BERGANDA

  • KOMANG CANDRA IVAN Faculty of Mathematics and Natural Sciences, Udayana University
  • I WAYAN SUMARJAYA Faculty of Mathematics and Natural Sciences, Udayana University
  • MADE SUSILAWATI Faculty of Mathematics and Natural Sciences, Udayana University

Abstract

Circular data are data which the value in form of vector is circular data. Statistic analysis that is used in analyzing circular data is circular statistics analysis. In regression analysis, if any of predictor or response variables or both are circular then the regression analysis used is called circular regression analysis. Observation data in circular statistic which use direction and time units usually don’t satisfy all of the parametric assumptions, thus making nonparametric regression as a good solution. Nonparametric regression function estimation is using epanechnikov kernel estimator for the linier variables and von Mises kernel estimator for the circular variable. This study showed that the result of circular analysis by using circular descriptive statistic is better than common statistic. Multiple circular-linier nonparametric regressions with Epanechnikov and von Mises kernel estimator didn’t create estimation model explicitly as parametric regression does, but create estimation from its observation knots instead.

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Author Biographies

KOMANG CANDRA IVAN, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
I WAYAN SUMARJAYA, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
MADE SUSILAWATI, Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University
Published
2016-05-31
How to Cite
IVAN, KOMANG CANDRA; SUMARJAYA, I WAYAN; SUSILAWATI, MADE. ANALISIS MODEL REGRESI NONPARAMETRIK SIRKULAR-LINEAR BERGANDA. E-Jurnal Matematika, [S.l.], v. 5, n. 2, p. 52 - 58, may 2016. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/21298>. Date accessed: 25 june 2022. doi: https://doi.org/10.24843/MTK.2016.v05.i02.p121.
Section
Articles

Keywords

Circular Data; Circular Regression; Circular-Linier Nonparametric Regression

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