Nisa, Khoirin and Herawati, Netti and Setiawan, Eri (2018) ANALISIS REGRESI NONNPARAMETRIK DENGAN TEKNIK SMOOTHING. PROSIDING SEMIRATA & ICST 2018. (In Press)

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Abstract

Smoothing has become a common technique in non-parametric methods which is used to estimate a function. This paper discuss three smoothing techniques for nonparametric regression that are often studied in literatures, i.e. kernel smoothing, smoothing splines, and the locally estimated scatterplot smoothing methods. The three methods will be examined empirically by using four generated data. Using the generated data, the result shows that the smoothing spline gives better performance than the other two methods.

Item Type:	Article
Subjects:	H Social Sciences > HA Statistics
Divisions:	Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User:	DR. KHOIRIN NISA
Date Deposited:	28 Jun 2018 06:48
Last Modified:	28 Jun 2018 06:48
URI:	http://repository.lppm.unila.ac.id/id/eprint/8077

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• ANALISIS REGRESI NONNPARAMETRIK DENGAN TEKNIK SMOOTHING. (deposited 28 Jun 2018 06:48) [Currently Displayed]
  • ANALISIS REGRESI NONNPARAMETRIK DENGAN TEKNIK SMOOTHING. (deposited 03 Aug 2018 07:43)

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