• Novita Eka Chandra Universitas Islam Darul ‘Ulum Lamongan
  • Sri Haryatmi Jurusan Matematika FMIPA UGM
  • Zulaela Zulaela Jurusan Matematika FMIPA UGM


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.

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: <>. Date accessed: 05 feb. 2023. doi:

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.