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...
| Main Authors: | , |
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| Subjects: |
| _version_ | 1826048090645200896 |
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| author | , Maria Suci Apriani , Prof. Dr. Sri Haryatmi, M.Sc |
| author_facet | , Maria Suci Apriani , Prof. Dr. Sri Haryatmi, M.Sc |
| author_sort | , Maria Suci Apriani |
| collection | UGM |
| description | 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. |
| first_indexed | 2024-03-13T23:22:30Z |
| format | Thesis |
| id | oai:generic.eprints.org:128760 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:22:30Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1287602016-03-04T08:01:54Z https://repository.ugm.ac.id/128760/ ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA , Maria Suci Apriani , Prof. Dr. Sri Haryatmi, M.Sc ETD 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. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , Maria Suci Apriani and , Prof. Dr. Sri Haryatmi, M.Sc (2014) ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69126 |
| spellingShingle | ETD , Maria Suci Apriani , Prof. Dr. Sri Haryatmi, M.Sc ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA |
| title | ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA |
| title_full | ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA |
| title_fullStr | ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA |
| title_full_unstemmed | ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA |
| title_short | ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA |
| title_sort | estimasi regresi nadaraya watson dengan kernel order tak hingga |
| topic | ETD |
| work_keys_str_mv | AT mariasuciapriani estimasiregresinadarayawatsondengankernelordertakhingga AT profdrsriharyatmimsc estimasiregresinadarayawatsondengankernelordertakhingga |