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At the county level the smallest estimated standard error (SE) for the estimates was obtained using the field data alone.
Meta-analysis of pooled estimates was obtained using the fixed effects meta-analysis model.
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Thus, all parameter estimates were obtained using restricted ML estimation.
Two methods of estimation were used and consistent genome length estimates were obtained using both Fishman et al. (2001) and Chakravarti et al. (1991) methods.
More specifically, noise variance estimates are obtained using (20) after which the order estimation criterion is applied.
The joint estimates are obtained using the least-squares (LS) algorithm for channel estimation and the Viterbi algorithm (VA) for data detection.
Initial parameter estimates were obtained using a robust nonlinear regression model by M-estimators, using iterated reweighted least squares.
The final estimates are obtained using a quadratic interpolation.
Specific surface area estimates were obtained using krypton as gas adsorbent and the BET model.
Position, velocity, and disturbance estimates are obtained using a Kalman filter.
For each model, the FB posterior estimates were obtained using the Markov Chains Monte Carlo (MCMC) techniques and several goodness-of-fit measures were used for model selection.
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