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We assessed model fitness using the Hosmer-Lemeshow goodness-of-fit test.
We assessed the assumptions model fitness using residual plots.
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The final model was tested for fitness using the Hosmer-Lemeshow goodness of fit test.
The final model was assessed for fitness using the Hosmer-Lemeshow goodness-of-fit test.
We describe here a method of estimating relative habitat states and conditions as surrogates of fitness using models of occupancy and mortality risk.
Model fitness was checked using Hosmer and Lemeshow goodness of a fit test (P = 0.63 and p = 0.68, respectively).
General model fitness is evaluated using 10-fold cross-validation.
Model fitness was assessed using the LRT test.
Tests of model performance and model fitness were conducted using the test dataset.
The overall model fitness can be compared using the model's log-likelihood at convergence with the log-likelihood of a naive model (model with all coefficients set to zero which is equivalent to assigning equal probability for all outcomes).
In order to test for model fitness, AMOS 18 was used to conduct path analysis via a maximum-likelihood estimation method; with all single indicators allowed to be correlated.
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