Individual Growth in a Random Environment: An Optimization Problem

  • Patrícia A. Filipe
  • Carlos A. Braumann
  • Clara Carlos
  • Carlos J. Roquete
Chapter
Part of the Studies in Theoretical and Applied Statistics book series (STAS)

Abstract

We 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.

Keywords

Stochastic Differential Equation Random Environment Individual Growth Standard Normal Random Variable Drift Coefficient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The first three authors are members of the Centro de Investigação em Matemática e Aplicações and the fourth author is member of the Instituto de Ciências Agrárias e Ambientais Mediterrânicas, both research centers of the Universidade de Évora financed by Fundação para a Ciência e Tecnologia (FCT). Braumann gratefully acknowledges the financial support from the FCT grant PTDC/MAT/115168/2009.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Patrícia A. Filipe
    • 1
  • Carlos A. Braumann
    • 1
  • Clara Carlos
    • 1
  • Carlos J. Roquete
    • 2
  1. 1.Centro de Investigação em Matemática e AplicaçõesUniversidade de Évora, Colégio Luís VerneyÉvoraPortugal
  2. 2.Instituto de Ciências Agrárias e Ambientais MediterrânicasUniversidade de ÉvoraÉvoraPortugal

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