REGRESI NONPARAMETRIK KERNEL ADJUSTED
| Main Authors: | , NOVITA EKA CHANDRA, , Prof. Dr. Sri Haryatmi, M.Sc. |
|---|---|
| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2014
|
| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/133812/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74649 |
Daftar Isi:
- 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.