ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT

Approaches that are used to estimate the regression function are parametric regression model approaching and nonparametric regression model approaching. Semiparametric regression is association of parametric regression and nonparametric regression. Semiparametric regression is used if the relation p...

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Main Authors: , Baiq Diah Fitasari, , Prof. Dr. Sri Haryatmi, M.Sc.
格式: Theses and Dissertations NonPeerReviewed
出版: [Yogyakarta] : Universitas Gadjah Mada 2014
主題:
ETD
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spelling id-ugm-repo.1338132016-03-04T07:53:26Z https://repository.ugm.ac.id/133813/ ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT , Baiq Diah Fitasari , Prof. Dr. Sri Haryatmi, M.Sc. ETD Approaches that are used to estimate the regression function are parametric regression model approaching and nonparametric regression model approaching. Semiparametric regression is association of parametric regression and nonparametric regression. Semiparametric regression is used if the relation pattern between independent variables and dependent variables has the known pattern and also has the unknown pattern. Estimating the unknown regression approaching and in this case is using the Nadaraya-Watson estimator. Semiparametric estimator is better than nonparametric estimator for the data which have the unknown relation pattern between dependent and independent variable and also has the unknown relation pattern between dependent and independent variable by using the MSE and AIC value. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , Baiq Diah Fitasari and , Prof. Dr. Sri Haryatmi, M.Sc. (2014) ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74651
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic ETD
spellingShingle ETD
, Baiq Diah Fitasari
, Prof. Dr. Sri Haryatmi, M.Sc.
ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT
description Approaches that are used to estimate the regression function are parametric regression model approaching and nonparametric regression model approaching. Semiparametric regression is association of parametric regression and nonparametric regression. Semiparametric regression is used if the relation pattern between independent variables and dependent variables has the known pattern and also has the unknown pattern. Estimating the unknown regression approaching and in this case is using the Nadaraya-Watson estimator. Semiparametric estimator is better than nonparametric estimator for the data which have the unknown relation pattern between dependent and independent variable and also has the unknown relation pattern between dependent and independent variable by using the MSE and AIC value.
format Theses and Dissertations
NonPeerReviewed
author , Baiq Diah Fitasari
, Prof. Dr. Sri Haryatmi, M.Sc.
author_facet , Baiq Diah Fitasari
, Prof. Dr. Sri Haryatmi, M.Sc.
author_sort , Baiq Diah Fitasari
title ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT
title_short ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT
title_full ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT
title_fullStr ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT
title_full_unstemmed ESTIMASI MODEL REGRESI SEMIPARAMETRIK DISKRIT
title_sort estimasi model regresi semiparametrik diskrit
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2014
url https://repository.ugm.ac.id/133813/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74651
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