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Comparation of logistic regression methods and discrete choice model in the selection of habitats Scientia Agricola
Cardozo,Sandra Vergara; Manly,Bryan Frederick John; Dias,Carlos Tadeu dos Santos.
Based on a review of most recent data analyses on resource selection by animals as well as on recent suggestions that indicate the lack of an unified statistical theory that shows how resource selection can be detected and measured, the authors suggest that the concept of resource selection function (RSF) can be the base for the development of a theory. The revision of discrete choice models (DCM) is suggested as an approximation to estimate the RSF when the choice of animal or groups of animals involves different sets of available resource units. The definition of RSF requires that the resource which is being studied consists of discrete units. The statistical method often used to estimate the RSF is the logistic regression but DCM can also be used. The...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Resource selection; Maximum likelihood; Binomial distribution; Comparison test.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000300011
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