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The resulting multilevel model is fit with RJMCMC (Richardson and Green 1997) to obtain posterior distributions for the number of sources and their individual parameters.

The resulting multilevel model is fit with reversible jump Markov chain Monte Carlo (RJMCMC) to obtain posterior distributions for the number of sources and their individual parameters.

This multilevel model is simulated for two scenarios of normal and faulty situations in a platoon of four IAVs.

A multilevel model is established to simultaneously account for measurement correlation within the same test section and roughness evolution correlation within the same experimental site.

Therefore, by this method each recruitment group embodies its inherent homophily of a social network, thus leading to the existence of unobservable common characteristics among group members.i A multilevel model is necessary to eliminate the bias caused by the dependent covariance in these recruitment networks.

One point of discussion regarding statistical inference raised by the comparison between the mixed-effects and multilevel model is over the appropriate scale on which to compare the variance components.

Second, a multilevel model was employed for the substantive statistical analyses, in which villagers were nested within villages.

The multilevel model was applied to the villager dataset alone, and to the villager and village datasets combined.

Changing patterns of diversity projected from the multilevel model are very similar to the patterns of diversity projected from Maxent.

A linear multilevel model was used.

Building of the multilevel model was rather complex.