Abstract
This paper describes a single species growth model with a stochastic population size dependent number of births occurring at discrete generation times and a continuous population size dependent death rate. An integral equation for a suitable transformation of the limiting population size density function is not in general soluble, but a Gram-Charlier representation procedure, previously used in storage theory, is successfully extended to cover this problem. Examples of logistic and Gompertz type growth are used to illustrate the procedure, and to compare with growth models in random environments. Comments on the biological consequences of these models are also given.
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Currently at Department of Mathematics, University of Maryland
Work partially supported by the Danish Natural Science Research Council and Monash University
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Aagaard-Hansen, H., Yeo, G.F. A stochastic discrete generation birth, continuous death population growth model and its approximate solution. J. Math. Biology 20, 69–90 (1984). https://doi.org/10.1007/BF00275862
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DOI: https://doi.org/10.1007/BF00275862