Abstract When random effects are correlated with survey sample design variables, the usual approach of employing individual weights (constructed to be inversely proportional unit inclusion probabilities) form a pseudo-likelihood no longer produces asymptotically unbiased inference. We construct weight-exponentiated formulation for distribution that achieves approximately inference generating hy...