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Weak convergence of an autoregressive process used in modeling population growth

Published online by Cambridge University Press:  14 July 2016

W. G. Cumberland*
Affiliation:
University of California at Los Angeles
Z. M. Sykes*
Affiliation:
The Johns Hopkins University
*
Postal address: School of Public Health, University of California, Los Angeles, CA 90024, U.S.A.
∗∗ Postal address: Department of Population Dynamics, The Johns Hopkins University, Baltimore, MD 21205, U.S.A.

Abstract

Under simple limiting conditions a first-order autoregressive process is shown to converge weakly to an Ornstein-Uhlenbeck process. The result is discussed in the context of modeling vital rates for biological populations in random environments.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1982 

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Footnotes

Research supported by a training grant (5-TO1-HN109), by a research career program award (5-KO4-Hd70404), and by a research grant (1-RO1-HD8959), all from the National Institute of Child Health and Human Development.

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