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Power divergence statistics under quasi independence model for square contingency tables

In incomplete contingency tables, some cells may contain structural zeros. The quasi-independence model, which is a generalization of the independence model, is most commonly model used to analyze incomplete contingency tables. Goodness of fit tests of the quasi-independence model are usually based...

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Main Author: Aktas, Serpil
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2016
Online Access:http://journalarticle.ukm.my/10304/1/20%20Serpil%20Aktas.pdf
http://journalarticle.ukm.my/10304/
http://www.ukm.my/jsm/english_journals/vol45num10_2016/contentsVol45num10_2016.html
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spelling my-ukm.journal.103042017-04-06T09:33:08Z http://journalarticle.ukm.my/10304/ Power divergence statistics under quasi independence model for square contingency tables Aktas, Serpil In incomplete contingency tables, some cells may contain structural zeros. The quasi-independence model, which is a generalization of the independence model, is most commonly model used to analyze incomplete contingency tables. Goodness of fit tests of the quasi-independence model are usually based on Pearson chi square test statistic and likelihood ratio test statistic. In power divergence statistics family, the selection of power divergence parameter is of interest in multivariate discrete data. In this study, a simulation study is conducted to evaluate the performance of the power divergence statistics under quasi independence model for particular power divergence parameters in terms of power values. Penerbit Universiti Kebangsaan Malaysia 2016-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10304/1/20%20Serpil%20Aktas.pdf Aktas, Serpil (2016) Power divergence statistics under quasi independence model for square contingency tables. Sains Malaysiana, 45 (10). pp. 1573-1578. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol45num10_2016/contentsVol45num10_2016.html
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description In incomplete contingency tables, some cells may contain structural zeros. The quasi-independence model, which is a generalization of the independence model, is most commonly model used to analyze incomplete contingency tables. Goodness of fit tests of the quasi-independence model are usually based on Pearson chi square test statistic and likelihood ratio test statistic. In power divergence statistics family, the selection of power divergence parameter is of interest in multivariate discrete data. In this study, a simulation study is conducted to evaluate the performance of the power divergence statistics under quasi independence model for particular power divergence parameters in terms of power values.
format Article
author Aktas, Serpil
spellingShingle Aktas, Serpil
Power divergence statistics under quasi independence model for square contingency tables
author_facet Aktas, Serpil
author_sort Aktas, Serpil
title Power divergence statistics under quasi independence model for square contingency tables
title_short Power divergence statistics under quasi independence model for square contingency tables
title_full Power divergence statistics under quasi independence model for square contingency tables
title_fullStr Power divergence statistics under quasi independence model for square contingency tables
title_full_unstemmed Power divergence statistics under quasi independence model for square contingency tables
title_sort power divergence statistics under quasi independence model for square contingency tables
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2016
url http://journalarticle.ukm.my/10304/1/20%20Serpil%20Aktas.pdf
http://journalarticle.ukm.my/10304/
http://www.ukm.my/jsm/english_journals/vol45num10_2016/contentsVol45num10_2016.html
_version_ 1643738076512518144
score 13.211869

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