Authors:

DESAK AYU WIRI ASTITI, I WAYAN SUMARJAYA, MADE SUSILAWATI

Abstract:

“The aim of this study is to obtain statistics models which explain the relationship between variables that influence the poverty indicators in Indonesia using multivariate spline nonparametric regression method. Spline is a nonparametric regression estimation method that is automatically search for its estimation wherever the data pattern move and thus resulting in model which fitted the data. This study, uses data from survey of Social Economy National (Susenas) and survey of Employment National (Sakernas) of 2013 from the publication of the Central Bureau of Statistics (BPS). This study yields two models which are the best model from two used response variables. The criterion uses to select the best model is the minimum Generalized Cross Validation (GCV). The best spline model obtained is cubic spline model with five optimal knots.”

Keywords

Keyword Not Available

Downloads:

Download data is not yet available.

References

References Not Available

PDF:

https://jurnal.harianregional.com/mtk/full-23383

Published

2016-08-30

How To Cite

ASTITI, DESAK AYU WIRI; SUMARJAYA, I WAYAN; SUSILAWATI, MADE. ANALISIS REGRESI NONPARAMETRIK SPLINE MULTIVARIAT UNTUK PEMODELAN INDIKATOR KEMISKINAN DI INDONESIA.E-Jurnal Matematika, [S.l.], v. 5, n. 3, p. 111-116, aug. 2016. ISSN 2303-1751. Available at: https://jurnal.harianregional.com/mtk/id-23383. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2016.v05.i03.p129.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 5 No 3 (2016)

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License