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)
}