Ergodicity of age structure in populations with Markovian vital rates, III: Finite-state moments and growth rate; an illustration
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Long Run
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Leslie (1945) models the evolution in discrete time of a closed, single-sex population with discrete age groups by multiplying a vector describing the age structure by a matrix containing the birth and death rates. We suppose that successive matrices are chosen according to a Markov chain from a finite set of matrices. We find exactly the long-run rate of growth and expected age structure. We give two approximations to the variance in age structure and total population size. A numerical example illustrates the ergodic features of the model using Monte Carlo simulation, finds the invariant distribution of age structure from a linear integral equation, and calculates the moments derived here.
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2016 ◽
Vol 31
(31)
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pp. 87-111
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1976 ◽
Vol 35
(03)
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pp. 510-521
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1986 ◽
Vol 63
(2)
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pp. 479-486
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