dc.creatorLoibel, S
dc.creatordo Val, JBR
dc.creatorAndrade, MG
dc.date2006
dc.dateFEB 5
dc.date2014-11-19T15:50:02Z
dc.date2015-11-26T17:29:49Z
dc.date2014-11-19T15:50:02Z
dc.date2015-11-26T17:29:49Z
dc.date.accessioned2018-03-29T00:16:48Z
dc.date.available2018-03-29T00:16:48Z
dc.identifierEcological Modelling. Elsevier Science Bv, v. 191, n. 41732, n. 501, n. 512, 2006.
dc.identifier0304-3800
dc.identifierWOS:000234951600011
dc.identifier10.1016/j.ecolmodel.2005.05.024
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/60144
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/60144
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/60144
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1285374
dc.descriptionThe paper considers the parameter identification of the Richards population growth model, a class of models that generalizes the logistic and the Gompertz growth model classes. The use of the Richards class presents an identifiability problem that is worsened when handling small data samples, a situation often encountered in animal population modeling. This paper tackles the identifiability problem by regarding the growth rate form parameter (q) in the Richards' model as the parameter in the corresponding Box-Cox data transformation, leading to a model that can be interpreted as a logistic growth model. In order to assure better interval estimation for the model parameters, the approach is complemented with the profile maximum likelihood estimates of the q parameter of the Richards model combined with the bootstrap technique. Some tests using generated and measured data are presented to illustrate the technique. (c) 2005 Elsevier B.V. All rights reserved.
dc.description191
dc.description41732
dc.description501
dc.description512
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationEcological Modelling
dc.relationEcol. Model.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectRichards growth model
dc.subjectprofile likelihood function
dc.subjectBox and Cox transformations
dc.subjectparametric bootstrap
dc.subjectPopulation
dc.subjectUncertainty
dc.subjectExtinction
dc.titleInference for the Richards growth model using Box and Cox transformation and bootstrap techniques
dc.typeArtículos de revistas


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