ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA
The function estimation of r(Xi) in linier regretion which is drawn near with nonparametric approach is done if there is no assumption about regretion function form of r(Xi). One of techniques used is smoothing technique with kernel. Function of r� � x� can be reduced to be o(hk) with choosing...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/128760/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69126 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | The function estimation of r(Xi) in linier regretion which is drawn near with nonparametric
approach is done if there is no assumption about regretion function
form of r(Xi). One of techniques used is smoothing technique with kernel.
Function of r� � x� can be reduced to be o(hk) with choosing the kernel that has the
bigger order from the amount of differensial number. Therefore, a kernel which
has �infinite order� can be determined. |
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