PERBANDINGAN MODEL REGRESI NONPARAMETRIK SPLINE DAN REGRESI NONPARAMETRIK KERNEL
Regression analysis is a statistical tool that is widely used to determine the relationship between a pair of variables or more. Regression analysis is divided into two, namely parametric regression and nonparametric regression. Nonparametric regression has several smoothing methods, such as spline...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/126875/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67112 |
| الوسوم: |
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| المؤسسة: | Universitas Gadjah Mada |
| الملخص: | Regression analysis is a statistical tool that is widely used to determine the
relationship between a pair of variables or more. Regression analysis is
divided into two, namely parametric regression and nonparametric
regression. Nonparametric regression has several smoothing methods, such
as spline and kernel regression. Its main purpose is to compare the two
methods for estimating the nonparametric regression model. The data were
used to compare the two methods of toddler growth data. |
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