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)      
   }