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On the use of time series representations of population models

Published online by Cambridge University Press:  14 July 2016

C. C. Heyde
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Abstract

Many population models which are far from stationarity can nevertheless be written in autoregressive format, perhaps with random coefficient. It is the thesis of this paper that procedures developed for stationary time series models are a useful guide to inferential results for population processes and may indeed be directly applicable. The illustrations concentrate on estimation of the matrix of mean vital rates in an age-structured population.

Keywords

AUTOREGRESSIONBRANCHING PROCESSPOPULATION MODELSEQUENTIAL CONTROL OR DESIGN MODELVITAL RATES
Type
Part 6—Allied Stochastic Processes
Information
Journal of Applied Probability , Volume 23 , Issue A: Essays in Time Series and Allied Processes , 1986 , pp. 345 - 353
Copyright
Copyright © 1986 Applied Probability Trust 

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