I would like to clasify two types of errors, additive and multiplicative in
a model.
Let Yij denote the jth radon measurement for subject i. I would like to fit
the following model:
Yij = (ai . Zij) + Xij
where:
ai is a parameter specific to subject i,
Zij (the multiplicative error component) is distributed as log-normal with
E[log Zij] = 0 and var[log Zij] = ω2, and
Xij (the additive error component) is distributed as normal with mean 0 and
variance σ2.
I wonder can someone help me to model this using BUGS.
many thanks
Nezahat
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