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: , Maria Suci Apriani, , Prof. Dr. Sri Haryatmi, M.Sc
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
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
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spelling id-ugm-repo.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
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic ETD
spellingShingle ETD
, Maria Suci Apriani
, Prof. Dr. Sri Haryatmi, M.Sc
ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA
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.
format Theses and Dissertations
NonPeerReviewed
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
title ESTIMASI REGRESI NADARAYA WATSON DENGAN KERNEL ORDER TAK HINGGA
title_short 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_sort estimasi regresi nadaraya watson dengan kernel order tak hingga
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2014
url 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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