Pe j yu rM NVe 1 Ls2 iie2j

where and

Xij xj

"2

Note that in this algorithm we have used generic prior distributions. This allows the incorporation of informative prior information but generally we will not have this information and so will use so-called 'diffuse' prior distributions that reflect our lack of knowledge. Since there are only 26 level-2 units from which we are estimating a 3 x 3 covariance matrix, the exact

Table III. Height modelled as a fourth-degree polynomial on age using

MCMC sampling.

Table III. Height modelled as a fourth-degree polynomial on age using

MCMC sampling.

Fixed effects

MCMC Estimate

Standard error

Intercept

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