Please use this identifier to cite or link to this item:

Title: Modelling individual animal growth in random environments
Authors: Filipe, Patrícia A.
Braumann, Carlos A.
Keywords: growth models
stochastic differential equations
cattle growth
Issue Date: 9-Jul-2008
Abstract: We have considered, as general models for the evolution of animal size in a random environment, stochastic differential equations of the form dY(t)=b( A-Y(t))dt+sdW(t), where Y(t)=g(X(t)), X(t) is the size of an animal at time t, g is a strictly increasing function, A=g(a) where a is the asymptotic size, s measures the effect of random environmental fluctuations on growth, and W(t) is the Wiener process. We have considered the stochastic Bertalanffy-Richards model (g(x)=x^c with c>0) and the stochastic Gompertz model (g(x)=ln x). We have studied the problems of parameter estimation for one path and also considered the extension to several paths. We also used bootstrap methods. Results and methods are illustrated using bovine growth data.
Type: lecture
Appears in Collections:MAT - Comunicações - Em Congressos Científicos Internacionais

Files in This Item:

File Description SizeFormat
Filipe.pdfDocumento principal175.33 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois