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


Affiliations
1 Department of Statistics, University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
2 Department of Statistics and O.R., Aligarh Muslim University, Aligarh, India
 

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

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Authors

Kaisar Ahmad
Department of Statistics, University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
S. P. Ahmad
Department of Statistics, University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
A. Ahmed
Department of Statistics and O.R., Aligarh Muslim University, Aligarh, India

Abstract


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.