AULIA PUTRI, 1517031055 (2019) ESTIMASI MODEL REGRESI NONPARAMETRIK MENGGUNAKAN ESTIMATOR NADARAYA-WATSON DENGAN FUNGSI KERNEL TRIANGLE. FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, UNIVERSITAS LAMPUNG.
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Abstract
Nonparametric regression is one of the statistical methods that is used to determine the pattern of the relationship between predictor variables with response variables whose form of function is unknown. The nonparametric regression curve is only assumed to be smooth while the data will look for its own estimation form. The kernel function is one approach to estimate the nonparametric regression curve. This study aims to estimate the nonparametric regression curve using the Nadaraya-Watson estimator with the kernel Triangle function on toddler growth data in Sidorejo Village, Kec. Sidomulyo South Lampung and simulation data. The results shows that the optimal regression curve estimation for real data is having bandwidth 5,0 with GCV 1,363146 while in the simulation data obtained the optimal bandwidth 5,0 with GCV 1,867415. Keywords: Kernel Nonparametric Regression, Bandwidth, GCV
| Item Type: | Other |
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| Subjects: | ?? 510 ?? |
| Divisions: | Fakultas MIPA > Prodi Matematika |
| Depositing User: | UPT . Meda Sulistiana |
| Date Deposited: | 13 Apr 2022 06:18 |
| Last Modified: | 13 Apr 2022 06:18 |
| URI: | http://digilib.unila.ac.id/id/eprint/59274 |
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