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On the use of time series representations of population models
Published online by Cambridge University Press: 14 July 2016
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
- 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