REGRESI NONPARAMETRIK KERNEL ADJUSTED

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

Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Vol 7 No 1 (2015): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)

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.