Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution

Nakagami distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and Quasi priors under three different loss funct...

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Main Authors: Kaisar Ahmad, S. P. Ahmad, A. Ahmed
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2016/7581918
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author Kaisar Ahmad
S. P. Ahmad
A. Ahmed
author_facet Kaisar Ahmad
S. P. Ahmad
A. Ahmed
author_sort Kaisar Ahmad
collection DOAJ
description Nakagami distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and Quasi priors under three different loss functions. Also the simulation study is conducted in R software.
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institution Kabale University
issn 1687-952X
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language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Journal of Probability and Statistics
spelling doaj-art-f7b3daf0bc954614807e0db5f4ae52322025-02-03T05:45:39ZengWileyJournal of Probability and Statistics1687-952X1687-95382016-01-01201610.1155/2016/75819187581918Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami DistributionKaisar Ahmad0S. P. Ahmad1A. Ahmed2Department of Statistics, University of Kashmir, Srinagar, Jammu and Kashmir 190006, IndiaDepartment of Statistics, University of Kashmir, Srinagar, Jammu and Kashmir 190006, IndiaDepartment of Statistics and O.R., Aligarh Muslim University, Aligarh, IndiaNakagami distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and Quasi priors under three different loss functions. Also the simulation study is conducted in R software.http://dx.doi.org/10.1155/2016/7581918
spellingShingle Kaisar Ahmad
S. P. Ahmad
A. Ahmed
Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
Journal of Probability and Statistics
title Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
title_full Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
title_fullStr Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
title_full_unstemmed Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
title_short Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
title_sort classical and bayesian approach in estimation of scale parameter of nakagami distribution
url http://dx.doi.org/10.1155/2016/7581918
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