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

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Figshare2015-12-02 更新2026-04-29 收录
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*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.
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2015-12-02
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