Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I

This study investigates the properties of goodness-of-fit test using the Kolmogorov-Smirnov (KS), Cramer-von Mises (CM), Anderson Darling (AD), Watson (W) and probability plot correlation coefficient (R) statistics for goodness-of-fit test for extreme value type-1 (EV1) distribution. The parameters...

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Main Authors: Shabri, Ani, Jemain, Abdul Aziz
Format: Article
Language:en
Published: Faculty of Science 2009
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Online Access:http://eprints.utm.my/6598/1/AniShabri2009_PengujianKesahihanPemadananUntuk.pdf
http://eprints.utm.my/6598/
http://www.fs.utm.my/matematika/content/view/225/31/
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author Shabri, Ani
Jemain, Abdul Aziz
author_facet Shabri, Ani
Jemain, Abdul Aziz
author_sort Shabri, Ani
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description This study investigates the properties of goodness-of-fit test using the Kolmogorov-Smirnov (KS), Cramer-von Mises (CM), Anderson Darling (AD), Watson (W) and probability plot correlation coefficient (R) statistics for goodness-of-fit test for extreme value type-1 (EV1) distribution. The parameters of EV1 are estimated by the L-moment (LMOM), moment (MOM) and least-square (LS) method. For each test, Monte Carlo techniques are used to generate critical values for sample sizes 5(5)50 and 50(10)100. The power of the goodness-of-fit tests are investigated under General Extreme Value (GEV) distribution. The power comparison shows that the LS is combined with the symmetrical rank gives more powerful results than LMOM and MOM for all statistics. Our study shows that the AD statistic is most powerful among the methods and is recommended for future study
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institution Universiti Teknologi Malaysia
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publishDate 2009
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spelling my.utm.eprints-65982017-10-22T01:59:59Z http://eprints.utm.my/6598/ Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I Shabri, Ani Jemain, Abdul Aziz T Technology (General) This study investigates the properties of goodness-of-fit test using the Kolmogorov-Smirnov (KS), Cramer-von Mises (CM), Anderson Darling (AD), Watson (W) and probability plot correlation coefficient (R) statistics for goodness-of-fit test for extreme value type-1 (EV1) distribution. The parameters of EV1 are estimated by the L-moment (LMOM), moment (MOM) and least-square (LS) method. For each test, Monte Carlo techniques are used to generate critical values for sample sizes 5(5)50 and 50(10)100. The power of the goodness-of-fit tests are investigated under General Extreme Value (GEV) distribution. The power comparison shows that the LS is combined with the symmetrical rank gives more powerful results than LMOM and MOM for all statistics. Our study shows that the AD statistic is most powerful among the methods and is recommended for future study Faculty of Science 2009-06 Article PeerReviewed application/pdf en http://eprints.utm.my/6598/1/AniShabri2009_PengujianKesahihanPemadananUntuk.pdf Shabri, Ani and Jemain, Abdul Aziz (2009) Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I. Matematika, 25 (1). pp. 53-66. ISSN 0127-8274 http://www.fs.utm.my/matematika/content/view/225/31/
spellingShingle T Technology (General)
Shabri, Ani
Jemain, Abdul Aziz
Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I
title Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I
title_full Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I
title_fullStr Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I
title_full_unstemmed Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I
title_short Pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis I
title_sort pengujian kesahihan pemadanan untuk taburan nilai ekstrim jenis i
topic T Technology (General)
url http://eprints.utm.my/6598/1/AniShabri2009_PengujianKesahihanPemadananUntuk.pdf
http://eprints.utm.my/6598/
http://www.fs.utm.my/matematika/content/view/225/31/
url_provider http://eprints.utm.my/