model
   {
      for( i in 1 : N )
      {
      x[i] ~ dexp.power(alpha, lambda)
      }
      
   # Prior distributions of the model parameters   
   
         alpha ~ dunif(0, 20.0)
         lambda~ dunif(0, 1.0)      
   }