scholarly journals Noninformative Priors for the Ratio of Parameters in Inverse Gaussian Distribution

2004 ◽  
Vol 17 (1) ◽  
pp. 49-60 ◽  
Keyword(s):  
Gaussian Distribution ◽  
Inverse Gaussian Distribution ◽  
Inverse Gaussian ◽  
Noninformative Priors

scholarly journals Statistical Analysis of Location Parameter of Inverse Gaussian Distribution Under Noninformative Priors

2019 ◽  
Vol 3 (2) ◽  
pp. 62-76
Author(s):  
Nida Khan ◽  
Muhammad Aslam
Keyword(s):  
Gaussian Distribution ◽  
Shape Parameter ◽  
Real Life ◽  
Location Parameter ◽  
Inverse Gaussian Distribution ◽  
Inverse Gaussian ◽  
Noninformative Priors ◽  
Life Data ◽  
Squared Error ◽  
Real Life Data

Bayesian estimation for location parameter of the inverse Gaussian distribution is presented in this paper. Noninformative priors (Uniform and Jeffreys) are assumed to be the prior distributions for the location parameter as the shape parameter of the distribution is considered to be known. Four loss functions: Squared error, Trigonometric, Squared logarithmic and Linex are used for estimation. Bayes risks are obtained to find the best Bayes estimator through simulation study and real life data

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