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. 2017 Mar 22;12(3):e0174433. doi: 10.1371/journal.pone.0174433

Table 1. Simulation check of the Bayesian (B) and classical (C) models.

M p Median Mean RMSE
B C B C B C
a) 0.5 0.15 0.499 0.500 0.501 0.501 0.028 0.030
0.2 0.15 0.501 0.500 0.501 0.500 0.022 0.024
0.5 0.30 0.500 0.501 0.500 0.501 0.023 0.023
0.2 0.30 0.499 0.499 0.500 0.500 0.018 0.018
b) 0.5 0.15 0.502 0.501 0.502 0.501 0.026 0.030
0.2 0.15 0.501 0.500 0.501 0.501 0.021 0.024
0.5 0.30 0.499 0.501 0.500 0.500 0.021 0.023
0.2 0.30 0.499 0.500 0.500 0.500 0.018 0.018

The data were simulated based on a) a covariate and b) a random effect, for occupancy. The true median and mean occupancy estimates were both 0.5 for all scenarios. M represents the proportions of sites missed per year and p the detection probability. RMSE denotes the root-mean-square-error.