creators_name: AULIA PUTRI, 1517031055
creators_id: -
type: other
datestamp: 2022-04-13 06:18:36
lastmod: 2022-04-13 06:18:36
metadata_visibility: show
title: ESTIMASI MODEL REGRESI NONPARAMETRIK MENGGUNAKAN
ESTIMATOR NADARAYA-WATSON DENGAN FUNGSI KERNEL
TRIANGLE
ispublished: pub
subjects: 510
full_text_status: restricted
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
date: 2019
date_type: published
publisher: FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
place_of_pub: UNIVERSITAS LAMPUNG
citation:   AULIA PUTRI, 1517031055  (2019) ESTIMASI MODEL REGRESI NONPARAMETRIK MENGGUNAKAN ESTIMATOR NADARAYA-WATSON DENGAN FUNGSI KERNEL TRIANGLE.  FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, UNIVERSITAS LAMPUNG.     
document_url: http://digilib.unila.ac.id/59274/1/ABSTRAK.pdf
document_url: http://digilib.unila.ac.id/59274/2/SKRIPSI%20FULL.pdf
document_url: http://digilib.unila.ac.id/59274/3/SKRIPSI%20TANPA%20BAB%20PEMBAHASAN.pdf