Extended Exponential Model
(Marshall-Olkin)
model
{
for( i in 1 : N )
{
x[i] ~ dext.exp(alpha, lambda)
}
# Prior distributions of the model parameters
alpha ~ dgamma(0.001, 0.001)
lambda ~ dgamma(0.001, 0.001)
}
The data set gives 100 observations on breaking stress of carbon fibres,Nichols and Padgett(2006).
Marshall, A. W. and Olkin, I. (1997). A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families.
Biometrika
,
84(3)
, 641-652.
Nichols, M.D. and W.J. Padgett, W.J. (2006). A bootstrap control chart for Weibull percentiles,
Quality and Reliability Engineering International
, 22, 141-151.
The MLE’s are alpha =75.67982, ; lambda= 1.67576,
Data
( click to open )
Inits for chain 1
Inits for chain 2
( click to open )
Results