Akaike information criterion analysis for the survey efficiency rate.

K is the number of estimated parameters in the model; AICc is the second order (due to small sample size) Akaike’s information criterion value; Δi is the delta AIC, which is the difference between each model and the best model; and wi is the Akaike weight, which indicates the probability that the model is the best among the candidate models.