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...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
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| الملخص: | 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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