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Estimating the critical values of stochastic growth models
Published online by Cambridge University Press: 14 July 2016
Abstract
Interacting particle systems provide an attractive framework for modelling the growth and spread of biological populations and diseases. One problem with their use in applications is that in most cases the existing information about their critical values and equilibrium densities is too crude to be useful. In this paper we describe a method for estimating these quantities that does not require very much computer time and produces fairly accurate results.
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- Copyright © Applied Probability Trust 1993
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