Maximum likelihood estimates of parameters for constant-variance models of mussel dynamics.

*parameter fixed a priori. –LL: Negative log likelihood of model. k: Number of estimated parameters. σ2est: Maximum likelihood estimated variance around the mean model. AIC: Akaike Information Criterion value. The best supporting value has the lowest AIC. ΔAIC: Difference between AIC of a candidate model and the best-supported model overall. wi: The Akaike Weight of a model. ER: The Evidence Ratio comparing the weight of the lowest AIC model to the weights of other models.