Log-Weibull Model
![[logweibull_ex1]](logweibull_ex1.bmp)
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)
}
The data set is taken from Murthy et al. (2004, pp. 119).
Murthy, D. N. P., Xie, M., Jiang, R. (2004),
Weibull Models
, Wiley-Interscience.
MLE's are mu = 2.36573, sigma.= 0.49440
Data
( click to open )
Inits for chain 1
Inits for chain 2
( click to open )
Results
![[logweibull_ex2]](logweibull_ex2.bmp)
![[logweibull_ex3]](logweibull_ex3.bmp)
![[logweibull_ex4]](logweibull_ex4.bmp)
![[logweibull_ex5]](logweibull_ex5.bmp)