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Analyses of prior selections for Gumbel distribution

In this paper, we acquaint some selections of priors for Gumbels’ parameters model. Simulation studies of Gumbel Distribution for eighteen pairs of priors based on the parameters’ characteristics and existing literatures were carried out. The usage of Markov Chain Monte Carlo via Metropolis-Hasting...

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Main Authors:	Rostami, Mohammad, Adam, Mohd Bakri
Format:	Article
Language:	English English
Published:	Universiti Teknologi Malaysia 2013
Online Access:	http://psasir.upm.edu.my/id/eprint/30215/1/Analyses%20of%20prior%20selections%20for%20Gumbel%20distribution.pdf http://psasir.upm.edu.my/id/eprint/30215/ http://www.matematika.utm.my/index.php/matematika/issue/view/83
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id	my.upm.eprints.30215
record_format	eprints
spelling	my.upm.eprints.302152015-10-29T08:24:22Z http://psasir.upm.edu.my/id/eprint/30215/ Analyses of prior selections for Gumbel distribution Rostami, Mohammad Adam, Mohd Bakri In this paper, we acquaint some selections of priors for Gumbels’ parameters model. Simulation studies of Gumbel Distribution for eighteen pairs of priors based on the parameters’ characteristics and existing literatures were carried out. The usage of Markov Chain Monte Carlo via Metropolis-Hasting algorithm is implemented. Our findings show that the combination of Gumbel and Rayleigh are the most compromise pair of priors for Gumbel model. We successfully employed the recommendation of the best pair priors to model the Malaysia Gold prices from 2001 to 2011. Universiti Teknologi Malaysia 2013-06 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30215/1/Analyses%20of%20prior%20selections%20for%20Gumbel%20distribution.pdf Rostami, Mohammad and Adam, Mohd Bakri (2013) Analyses of prior selections for Gumbel distribution. Matematika, 29 (1). pp. 95-107. ISSN 0127-8274 http://www.matematika.utm.my/index.php/matematika/issue/view/83 English
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English English
description	In this paper, we acquaint some selections of priors for Gumbels’ parameters model. Simulation studies of Gumbel Distribution for eighteen pairs of priors based on the parameters’ characteristics and existing literatures were carried out. The usage of Markov Chain Monte Carlo via Metropolis-Hasting algorithm is implemented. Our findings show that the combination of Gumbel and Rayleigh are the most compromise pair of priors for Gumbel model. We successfully employed the recommendation of the best pair priors to model the Malaysia Gold prices from 2001 to 2011.
format	Article
author	Rostami, Mohammad Adam, Mohd Bakri
spellingShingle	Rostami, Mohammad Adam, Mohd Bakri Analyses of prior selections for Gumbel distribution
author_facet	Rostami, Mohammad Adam, Mohd Bakri
author_sort	Rostami, Mohammad
title	Analyses of prior selections for Gumbel distribution
title_short	Analyses of prior selections for Gumbel distribution
title_full	Analyses of prior selections for Gumbel distribution
title_fullStr	Analyses of prior selections for Gumbel distribution
title_full_unstemmed	Analyses of prior selections for Gumbel distribution
title_sort	analyses of prior selections for gumbel distribution
publisher	Universiti Teknologi Malaysia
publishDate	2013
url	http://psasir.upm.edu.my/id/eprint/30215/1/Analyses%20of%20prior%20selections%20for%20Gumbel%20distribution.pdf http://psasir.upm.edu.my/id/eprint/30215/ http://www.matematika.utm.my/index.php/matematika/issue/view/83
_version_	1643829991730839552
score	13.211869

Analyses of prior selections for Gumbel distribution

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