model
   {
      for( i in 1 : N )
      {
            x[i] ~ dlog.weib(mu, sigma)
      }
      
   # Prior distributions of the model parameters   

   # Gamma Prior      
         mu ~ dgamma(0.001, 0.001)
         sigma~ dgamma(0.001, 0.001)   
               
   }