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Statistical models for categorical data: brief review for applications in ecology
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Orientador(es)
Resumo(s)
A brief review of statistical models for prediction of categorical data is presented, with emphasis on the binary
type. Several methods have been adopted to build predictive models for binary and other types of categorical data and response variables. The focus here is on generalized linear models and generalized additive models, widely applied in problems in Ecology, when the goal is to fit a model to data of presence/absence type or any other categorical response.The estimation methods used for generalized linear models and generalized additive models as well its statistical properties are discussed. Some examples in ecology are addressed.
Descrição
Palavras-chave
Categorical data Presence/Absence models Generalized linear models Generalized additive models Ecology
Contexto Educativo
Citação
Ramos, M. R., Oliveira, M. M., Borges, J. G., & McDill, M. E. (2015). Statistical models for categorical data: Brief review for applications in ecology. AIP Conference Proceedings, 1648. https://doi.org/10.1063/1.4913055
Editora
AIP Publishing