Open AccessESTIMASI DENSITAS KERNEL ADJUSTED: STUDI SIMULASI
Author(s) -
Novita Eka Chandra,
Masriani Mahyuddin,
Siti Alfiatur Rohmaniah
Publication year - 2016
Publication title -
jurnal ilmiah matematika dan pendidikan matematika (jmp)/jurnal ilmiah matematika dan pendidikan matematika
Language(s) - English
Resource type - Journals
eISSN - 2550-0422
pISSN - 2085-1456
DOI - 10.20884/1.jmp.2016.8.2.2885
Subject(s) - kernel (algebra) , variable kernel density estimation , kernel density estimation , kernel smoother , kernel embedding of distributions , mathematics , multivariate kernel density estimation , kernel principal component analysis , kernel method , radial basis function kernel , statistics , computer science , combinatorics , artificial intelligence , estimator , support vector machine
Kernel adjusted density estimation is a modification of the regular kernel density estimation. The modification is applied to a kernel function. This kernel function is derived from the location-scale transformation. Simulation study shows that this estimation have better results than the regular estimation because it has smaller MSE value. In addition, if normal kernel is used as a kernel function then the curve estimation will be smoother than other kernel function such as uniform kernel and Epachenikov kernel.