PEMODELAN PERSAMAAN REGRESI SPLINE KUADRATIK DENGAN MENENTUKAN TITIK - TITIK KNOT YANG OPTIMAL (Studi Kasus Pertambahan Persentase Penduduk dengan Persentase Penerimaan Tenaga Kerja Baru)
| Main Authors: | , TRI EFENDI, , Drs. Zulaela, Dipl. Med. Stats., M.Si |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2013
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/126704/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=66933 |
Daftar Isi:
- Regression analysis was used to see the effect of predictor variables on the response variable with a regression curve . The approach used to determine the regression curve parametric and nonparametric approaches . Spline regression models is one approach towards fitting the data with smoothness considering the regression curve , which is a modification of segmented polynomial function . Spline estimator shape is influenced by the smoothing parameter value that is essentially a determination of the location of the point - the point knots . Selection of optimal is a very important issue in spline regression estimation . Quadratic spline regression model is applied to a case study of the Indonesian population growth percentage and percentage of new recruitment in Indonesia with GCV ( Generalized Cross Validation ) and MSE selecting optimum .