REGRESI NONPARAMETRIK KERNEL ADJUSTED; ( KERNEL ADJUSTED NONPARAMETRIC REGRESSION )

NOVITA EKA CHANDRA, Sri Haryatmi

2014 | Disertasi | PROGRAM STUDI S2 MATEMATIKA

Nadaraya watson’s kernel adjusted regression estimator is an estimator that 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 clasical kernel regression estimator. This is proven by the small grade MSE which is given by this estimator.

Kata Kunci : estimator, Nadaraya Watson kernel, location-scale family.