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Title: Statistical Models for categorical data: brief review for applications in Ecology
Authors: Ramos, Rosario
Oliveira, Manuela
Borges, José
McDill, Marc E
Keywords: categorical data
Presence/Absence models
Generalized linear models
Generalized additive models
Issue Date: 28-Sep-2014
Publisher: AIP Publishing
Citation: AIP Conference Proceedings 1648, 840015 (2015); doi: 10.1063/1.4913055 Ano de publicação - 2015
Abstract: 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
URI: http://dx.doi:10.101063/1.4913055
Type: article
Appears in Collections:CIMA - Artigos em Livros de Actas/Proceedings

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