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)
}