Afifah, Ngizatul (2017) Estimator Campuran Kernel Dan Deret Fourier Dalam Regresi Nonparametrik (Studi Kasus: Pemodelan Persentase Penduduk Miskin Di Indonesia). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Terdapat tiga macam pendekatan dalam analisis regresi yaitu regresi
parametrik, nonparametrik dan semiparametrik. Regresi nonparametrik
memungkinkan variabel respon mengikuti kurva regresi nonparametrik yang
berbeda satu variabel prediktor dengan variabel prediktor lainnya
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There are three kinds of approaches in the regression analysis that is
parametric, nonparametric and semiparametric regression. Nonparametric
regression allows the response variable follow different nonparametric regression
curve of the predictor variables with other predictor variables
Item Type: | Thesis (Masters) |
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Additional Information: | RTSt 519.536 Afi e-1 |
Uncontrolled Keywords: | Deret Fourier, Kernel, Persentase Penduduk Miskin, Regresi Nonparametrik Campuran |
Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
Divisions: | Faculty of Mathematics and Science > Statistics > 49101-(S2) Master Thesis |
Depositing User: | NGIZATUL AFIFAH |
Date Deposited: | 06 Sep 2017 04:30 |
Last Modified: | 21 Nov 2017 04:44 |
URI: | http://repository.its.ac.id/id/eprint/2578 |
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