	model
	{
		for( i in 1 : N ) 
		   {
		        x[i] ~ dext.weib(alpha, lambda)
		   }
		
	# Prior distributions of the model parameters	
	
			alpha ~ dunif(0, 5.0)
			lambda~ dgamma(0.001, 0.001)

	}
