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Applied Mathematics & Information Sciences Letters
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Vol. 05 > No. 3

 
   

Characterization and Bayesian Estimation of Generalized Standard Inverted Exponential Distribution

PP: 127-135
doi:10.18576/amisl/050306
Author(s)
Kawsar Fatima, S. P. Ahmad,
Abstract
In this paper, some structural properties of generalized standard inverted exponential distribution (GIED) have been established. Bayesian method of estimation has been employed to estimate the parameters of GIED using a class of one non-informative (extension of Jeffrey’s) prior and one informative (gamma) prior under the assumption of three loss functions, namely, Square error loss function, Al-Bayyati,s loss function and LINEX loss function. These methods are compared by using mean square error for real life data as well as simulation study with varying sample sizes in R software. The expression for survival function has also been established under extension of Jeffrey’s prior and gamma prior.

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