%0 Generic
%A AULIA PUTRI, 1517031055
%C UNIVERSITAS LAMPUNG
%D 2019
%F eprints:59274
%I FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
%T ESTIMASI MODEL REGRESI NONPARAMETRIK MENGGUNAKAN  ESTIMATOR NADARAYA-WATSON DENGAN FUNGSI KERNEL  TRIANGLE
%U http://digilib.unila.ac.id/59274/
%X 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