View : 119 Download: 0

On the choice of nonparametric entropy estimator in entropy-based goodness-of-fit test statistics

Title
On the choice of nonparametric entropy estimator in entropy-based goodness-of-fit test statistics
Authors
Park S.Shin D.W.
Ewha Authors
신동완
SCOPUS Author ID
신동완scopus
Issue Date
2012
Journal Title
Communications in Statistics - Theory and Methods
ISSN
0361-0926JCR Link
Citation
Communications in Statistics - Theory and Methods vol. 41, no. 5, pp. 809 - 819
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Entropy-based goodness-of-fit test statistics can be established by estimating the entropy difference or Kullback-Leibler information, and several entropy-based test statistics based on various entropy estimators have been proposed. In this article, we first give comments on some problems resulting from not satisfying the moment constraints. We then study the choice of the entropy estimator by noting the reason why a test based on a better entropy estimator does not necessarily provide better powers. Copyright © Taylor & Francis Group, LLC.
DOI
10.1080/03610926.2010.531365
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE