Bayes approach to study scale parameter of log logistic distribution

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Scale parameter of Log logistic distribution has been studied using Bayesian approach. Posterior distribution has derived by using non informative prior. Posterior distribution is not in close form so we have work with quadrature numerical integration. Various loss functions has been utilized to derive the Bayes estimators and their corresponding risks. Simulation study has been performed to compare the performance of different estimators.


  • Keywords


    Informative Prior, Bayes Estimates, Posterior Risks, Loss Functions, Monte Carlo simulation.

  • References


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Article ID: 5184
 
DOI: 10.14419/ijasp.v3i2.5184




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