REGRESI NONPARAMETRIK KERNEL ADJUSTED

  • Novita Eka Chandra Universitas Islam Darul ‘Ulum Lamongan
  • Sri Haryatmi Jurusan Matematika FMIPA UGM
  • Zulaela Zulaela Jurusan Matematika FMIPA UGM
DOI: https://doi.org/10.20884/1.jmp.2015.7.1.2894

Abstract

Nadaraya Watson's kernel adjusted regression estimator is an estimator whose kernel is taken from the family of scale-location associated with the classical kernel density estimator. Based on these estimator, it can be obtained optimal bandwith and scale parameter. This estimator gives a better estimation results compared with Naradaya Watson's classical kernel regression estimator. This is proven by the small grade MSE which is given by this estimator.

Published
2015-06-26
How to Cite
CHANDRA, Novita Eka; HARYATMI, Sri; ZULAELA, Zulaela. REGRESI NONPARAMETRIK KERNEL ADJUSTED. Jurnal Ilmiah Matematika dan Pendidikan Matematika, [S.l.], v. 7, n. 1, p. 1-10, june 2015. ISSN 2550-0422. Available at: <https://jos.unsoed.ac.id/index.php/jmp/article/view/2894>. Date accessed: 21 oct. 2025. doi: https://doi.org/10.20884/1.jmp.2015.7.1.2894.
Citation Formats
Issue
Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Section
Articles

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