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/
http://psasir.upm.edu.my/id/eprint/30215/1/Analyses%20of%20prior%20selections%20for%20Gumbel%20distribution.pdf
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author Rostami, Mohammad
Adam, Mohd Bakri
author_facet Rostami, Mohammad
Adam, Mohd Bakri
author_sort Rostami, Mohammad
building UPM Institutional Repository
collection Online Access
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.
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spelling upm-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
spellingShingle Rostami, Mohammad
Adam, Mohd Bakri
Analyses of prior selections for Gumbel distribution
title 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_short Analyses of prior selections for Gumbel distribution
title_sort analyses of prior selections for gumbel distribution
url http://psasir.upm.edu.my/id/eprint/30215/
http://psasir.upm.edu.my/id/eprint/30215/
http://psasir.upm.edu.my/id/eprint/30215/1/Analyses%20of%20prior%20selections%20for%20Gumbel%20distribution.pdf