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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[Yogyakarta] : Universitas Gadjah Mada
2014
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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 |
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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 |
| _version_ |
1681233751122640896 |