Statistical models for categorical data: brief review for applications in ecology

Ramos, Maria do Rosário; Oliveira, Manuela M.; Borges, José G.; McDill, Marc E.

http://hdl.handle.net/10400.2/14721

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Authors

Ramos, Maria do Rosário

Oliveira, Manuela M.

Borges, José G.

McDill, Marc E.

Abstract(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.

Keywords

Categorical data Presence/Absence models Generalized linear models Generalized additive models Ecology

URI

http://hdl.handle.net/10400.2/14721

Citation

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