ADVANCED FEATURES OF PROGRAM MARK

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Principles and interest of GOF tests for multistate capture-recapture models (2005, methodology): “Although, some automatic procedures, such as the bootstrap procedure built in MARK (White, 2001), are available, they have their limitations (White, 2002) and above all do not suggest what may be wrong when a model is rejected.”
Kullback-Leibler information as a basis for strong inference in ecological studies (2001, methodology): “Program MARK (White et al. 2001) allows a full analysis of data under the information-theoretic paradigm, including model averaging and estimates of precision that include model-selection uncertainty.”
Predator control allows critically endangered lizards to recover on mainland New Zealand. (2012, methodology): “For model-averaged confidence intervals of population size we used a logarithmbased confidence interval incorporating minimum numbers alive (White et al. 2001).”
Closure violation in DNA-based mark-recapture estimation of grizzly bear populations (2001, methodology): “Covariates were standardized in MARK by the mean and standard deviation of observed distances (White et al. 2001).”
Assessing the fit of site-occupancy models (2004, methodology): “However, there are two important differences between our method and the test in Program MARK: (1) individuals (or sites in the present setting) with unique combinations of covariates are pooled; and (2) a Pearson’s chi-square statistic is used rather than the deviance statistic.”