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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
|
| Subjects: | |
| Online Access: | 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universitas Gadjah Mada |
| Summary: | 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. |
|---|