[inv_weibull_ex0] Inverse Weibull Model

   [inv_weibull_ex1]
   

   model
   {
      for( i in 1 : N )
      {
      x[i] ~ dinv.weib(beta, lambda)
      }
      
   #Prior distributions of the model parameters   
   # Gamma Prior      
         beta ~ dgamma(0.001, 0.001)
         lambda~ dgamma(0.001, 0.001)      
   }

The data set is taken from Murthy et al. (2004, pp. 119 ).

Murthy, D. N. P., Xie, M., Jiang, R. (2004). Weibull Models , Wiley-Interscience.

MLE's are beta = 3.888075, lambda = 0.803668

Data ( click to open )


Inits for chain 1        Inits for chain 2     ( click to open )

Results

[inv_weibull_ex2]

[inv_weibull_ex3]

[inv_weibull_ex4]
[inv_weibull_ex5]
[inv_weibull_ex6]