Each model’s difference of sum of squared residuals (ΔSSR) or difference of maximum log-likelihood (), AICc (ΔAICc) and evidence ratio are calculated with respect to the optimal model.
The comparison of six survival functions with or without mean number of mites as an individual covariate for survival estimates of Takydromus viridipunctatus. φ: survival; α: intercept; β: slope; m: m
AIC and BIC both give model M1 as winner. All models fit the data significantly better than chance: pR2 score > 0. The table shows mean ± SEM of parameter values without outliers (|β|≥1,000).
Standard and truncated folded-normal, log-normal, and Pareto distributions were considered. The truncated log-normal distribution, with parameters: μ = 0.64 (CI95: 0.60, 0.68), σ = 1.39 (CI95: 1.36, 1