Herawati, Netti and Nisa, Khoirin (2009) Testing Normality and Bandwith Estimation Using Kernel Method For Small Sample Size. ILMU DASAR, 10 (1). pp. 62-67.

[img]
Preview
Text
Testing_Normality_and_ ILMU DASAR.pdf

Download (325kB) | Preview

Abstract

This article aimed to study kernel method for testing normality and to determine the density function based on curve fitting technique (density plot) for small sample sizes. To obtain optimal bandwith we used Kullback- Leibler cross validation method. We compared the result using goodness of fit test by Kolmogorof Smirnov test statistics. The result showed that kernel method gave the same performance as Kolmogorof Smirnov for testing normality but easier and more convinient than Kolmogorof Smirnov does.

Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User: Dr. KHOIRIN NISA
Date Deposited: 12 Jun 2017 02:07
Last Modified: 12 Jun 2017 02:07
URI: http://repository.lppm.unila.ac.id/id/eprint/3456

Actions (login required)

View Item View Item