A statistical criterion for the estimation of parameters in models. Maximum likelihood methods aim to maximize the likelihood (or probability) of having collected the observed data, given predictions from a model. For example, virtual population analysis (VPA) tuning often involves finding the estimates of abundance and mortality rates that maximize the likelihood for the observed standardized catch per unit effort (CPUE). Under some conditions, the methods of maximum likelihood and least squares give similar results.