ESTIMATOR REGRESI KERNEL NADARAYA-WATSON ADAPTIF THE ADAPTIVE NADARAYA-WATSON KERNEL REGRESSION ESTIMATOR
Regression analysis is one of statistical analysis usually used to investigate the pattern of functional relation between predictor and response. The formed pattern of this relation is used to find the proper approach in estimating regression function between parametric or non parametric approach. T...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| Online Access: | https://repository.ugm.ac.id/125697/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=65871 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | Regression analysis is one of statistical analysis usually used to investigate the pattern of functional relation between predictor and response. The formed pattern of this relation is used to find the proper approach in estimating regression function between parametric or non parametric approach. This paper focuses on adaptive Nadaraya-Watson Kernel regression estimator in which is non parametric regression approach using kernel method with varying bandwidth of one point to another. Basically, adaptive Nadaraya-Watson Kernel estimator is an expansion of Nadaraya-Watson Kernel estimator. Furthermore, the performance criteria of both estimators are compared here by checking the obtained MSE values. The results of this study show that the adaptive Nadaraya-Watson kernel estimators have better performance than Nadaraya-Watson kernel estimators because they obtain smaller MSE values. |
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