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. Author manuscript; available in PMC: 2013 Jul 1.
Published in final edited form as: Evolution. 2012 Feb 19;66(7):2240–2251. doi: 10.1111/j.1558-5646.2011.01574.x

Figure 2.

Figure 2

Conceptual diagram of the Monte Carlo method for model choice. First, parameters for both models are estimated from the original data. Then, n simulated datasets are created from each model at these parameters, and on each dataset, the parameters for both models are re-estimated and the likelihood ratio statistic is computed. The collection of likelihood ratio statistics generates the corresponding distribution. This involves a process of 4n fits by maximum likelihood, instead of only 2 fits required for information criteria.