Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik

Goodness of fit (GOF) test is a statistical technique that can be used to determine whether or not a data set follows certain statistical distributions. There are various GOF statistics that can be applied such as Kolmogorov Smirnov (KS), Anderson-Darling (AD) and Cramer- von- Mises (CV). In this...

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Main Authors: Faridatulazna A. Shahabuddin, Norkhairul Aizura Nordin, Kamarulzaman Ibrahim, Abdul Aziz Jemain
Format: Article
Published: Penerbit Universiti Kebangsaan Malaysia 2010
Online Access:http://journalarticle.ukm.my/1973/
http://journalarticle.ukm.my/1973/
id ukm-1973
recordtype eprints
spelling ukm-19732011-06-21T04:23:33Z http://journalarticle.ukm.my/1973/ Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik Faridatulazna A. Shahabuddin, Norkhairul Aizura Nordin, Kamarulzaman Ibrahim, Abdul Aziz Jemain, Goodness of fit (GOF) test is a statistical technique that can be used to determine whether or not a data set follows certain statistical distributions. There are various GOF statistics that can be applied such as Kolmogorov Smirnov (KS), Anderson-Darling (AD) and Cramer- von- Mises (CV). In this paper a study is conducted to investigate the performance of several selected goodness of fit tests which include KS, AD, CV, three test statistics of Zhang and a proposed modified GOF test which incorporates a variance stabilising transformation. The performance of these tests is studied for testing normal and logistic distributions for various sample sizes. It is found that Zhang’s test is the most powerful and followed closely by our proposed GOF test Penerbit Universiti Kebangsaan Malaysia 2010-12 Article PeerReviewed Faridatulazna A. Shahabuddin, and Norkhairul Aizura Nordin, and Kamarulzaman Ibrahim, and Abdul Aziz Jemain, (2010) Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik. Journal of Quality Measurement and Analysis, 6 (2). pp. 99-104. ISSN 1823-5670 http://www.ukm.my/~ppsmfst/jqma/index.html
repository_type Digital Repository
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institution Universiti Kebangasaan Malaysia
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description Goodness of fit (GOF) test is a statistical technique that can be used to determine whether or not a data set follows certain statistical distributions. There are various GOF statistics that can be applied such as Kolmogorov Smirnov (KS), Anderson-Darling (AD) and Cramer- von- Mises (CV). In this paper a study is conducted to investigate the performance of several selected goodness of fit tests which include KS, AD, CV, three test statistics of Zhang and a proposed modified GOF test which incorporates a variance stabilising transformation. The performance of these tests is studied for testing normal and logistic distributions for various sample sizes. It is found that Zhang’s test is the most powerful and followed closely by our proposed GOF test
format Article
author Faridatulazna A. Shahabuddin,
Norkhairul Aizura Nordin,
Kamarulzaman Ibrahim,
Abdul Aziz Jemain,
spellingShingle Faridatulazna A. Shahabuddin,
Norkhairul Aizura Nordin,
Kamarulzaman Ibrahim,
Abdul Aziz Jemain,
Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik
author_facet Faridatulazna A. Shahabuddin,
Norkhairul Aizura Nordin,
Kamarulzaman Ibrahim,
Abdul Aziz Jemain,
author_sort Faridatulazna A. Shahabuddin,
title Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik
title_short Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik
title_full Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik
title_fullStr Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik
title_full_unstemmed Perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik
title_sort perbandingan beberapa ujian kebagusan penyuaian untuk taburan normal dan taburan logistik
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2010
url http://journalarticle.ukm.my/1973/
http://journalarticle.ukm.my/1973/
first_indexed 2023-09-18T19:34:52Z
last_indexed 2023-09-18T19:34:52Z
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