Ranked Generalised Linear Models with bootstrap sampling of the probability of a shark being in a 25% utilisation distribution explained by bathymetry (Depth) and region of the coast (Region).
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Maximum log-likelihood (LL), degrees of freedom (df), Akaike’s information criterion corrected for small samples (AICc), AICc weight (wAICc), the % deviation explained (%DE), lower quantile LCI (25th quantile) (25%) for LL.25, wAICc.25, AICc.25 and %DE.25 and upper quantile (75th quantile) for LL.75, wAICc.75, AICc.75 and %DE.75. Ranked Generalised Linear Models with bootstrap sampling of the probability of a shark being in a 25% utilisation distribution explained by bathymetry (Depth) and region of the coast (Region).
创建时间：
2015-02-11
