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All Journal Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Zulaela Zulaela
Jurusan Matematika FMIPA UGM
Mathematics

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REGRESI NONPARAMETRIK KERNEL ADJUSTED Novita Eka Chandra; Sri Haryatmi; Zulaela Zulaela
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 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.
REGRESI NONPARAMETRIK KERNEL ADJUSTED Novita Eka Chandra; Sri Haryatmi; Zulaela Zulaela
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 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.
Co-Authors Novita Eka Chandra, Novita Eka Sri Haryatmi