作者: Rémi Choquet , Jean-Dominique Lebreton , Olivier Gimenez , Anne-Marie Reboulet , Roger Pradel
DOI: 10.1111/J.1600-0587.2009.05968.X
关键词: Overdispersion 、 Data set 、 Goodness of fit 、 Artificial intelligence 、 Computer aid 、 Machine learning 、 State (computer science) 、 Statistical analysis 、 Mark and recapture 、 Ecology 、 Computer science
摘要: In any statistical analysis, assessing the goodness of fit a model to data is crucial avoid drawing incorrect conclusions. U-CARE computer application that deals with mandatory first steps analyses capture–recapture data: preparation set and assessment general (Cormack-Jolly-Seber variants for single-state data; Jolly-Move multi-state data). implements current state art in goodness-of-fit testing by incorporating components aimed at detecting most likely departures from assumptions (Pradel et al. 2003, 2005). It free stand-alone Windows.