Individual Growth in a Random Environment: an optimization problem

dc.contributor.authorFilipe, Patrícia A.
dc.contributor.authorBraumann, Carlos A.
dc.contributor.authorCarlos, Clara
dc.contributor.authorRoquete, Carlos
dc.contributor.editorPacheco, António
dc.contributor.editorSantos, Rui
dc.contributor.editorOliveira, Maria do Rosário
dc.contributor.editorPaulino, Carlos Daniel
dc.date.accessioned2014-12-23T10:28:28Z
dc.date.available2014-12-23T10:28:28Z
dc.date.issued2014
dc.description.abstractWe consider a class of stochastic differential equations model to describe individual growth in a random environment. Applying these models to the weight of mertolengo cattle, we compute the mean profit obtained from selling an animal to the meat market at different ages and, in particular, determine which is the optimal selling age. Using first passage time theory we can characterize the time taken for an animal to achieve a certain weight of market interest for the first time. In particular, expressions for the mean and standard deviation of these times are presented and applied to real data. These last results can be used to determine the optimal selling weight in terms of mean profit.por
dc.identifier.authoremailpasf@uevora.pt
dc.identifier.authoremailbraumann@uevora.pt
dc.identifier.authoremailClara.Carlos@estbarreiro.ips.pt
dc.identifier.authoremailcroquete@uevora.pt
dc.identifier.isbn978-3-319-05322-6
dc.identifier.scientificarea340por
dc.identifier.sharewithCentro de Investigação em Matemática e Aplicações da Universidade de Évora (CIMA-UE)por
dc.identifier.urihttp://link.springer.com/chapter/10.1007/978-3-319-05323-3_11
dc.identifier.urihttp://hdl.handle.net/10174/12005
dc.language.isoporpor
dc.rightsrestrictedAccesspor
dc.titleIndividual Growth in a Random Environment: an optimization problempor
dc.typebookPartpor
degois.publication.firstPage115por
degois.publication.lastPage123por
degois.publication.titleNew Advances in Statistical Modeling and Applications, Studies in Theoretical and Applied Statisticspor

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