Table 2 Test for differences between occupancy estimates in the Coast (\({\theta }_{1}\)) and the Central valley (\({\theta }_{2}\)) in four alien plants, Central Chile, using Bayes Factor. Statistical hypotheses are \({H}_{0}: {\theta }_{1}\le {\theta }_{2}\) and \({H}_{1}: { \theta }_{1 }>{\theta }_{2}.\) The Bayes factor was calculated using a) informative prior distributions (Beta distributions obtained from García et al. (2014); b) Uniform prior distributions, Beta (1,1); c) Jeffreys prior distributions, Beta (0.5,0.5), d) approximation to Haldane prior distribution, Beta (0.001,0.001). If Bayes Factor is higher than 1, then we support \({H}_{1};\) if values are lower than 1, then we support \({H}_{0}.\)

From: On the use of prior distributions in bayesian inference applied to Ecology: an ecological example using binomial proportions in exotic plants, Central Chile