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A stochastic population projection system based on general age-dependent branching processes.
Journal of Applied Probability ( IF 0.7 ) Pub Date : 1987-03-01
C J Mode , M E Jacobson , G T Pickens

"Algorithms for a stochastic population process, based on assumptions underlying general age-dependent branching processes in discrete time with time inhomogeneous laws of evolution, are developed through the use of a new representation of basic random functions involving birth cohorts and random sums of random variables. New algorithms provide a capability for computing the mean age structure of the process as well as variances and covariances, measuring variation about means. Four exploratory population projections, testing the implications of the algorithms for the case of time-homogeneous laws of evolution, are presented. Formulas extending mean and variance functions for unit population projections...are also presented. These formulas show that, in population processes with non-random laws of evolution, stochastic fluctuations about the mean function are negligible when initial population size is large. Further extensions of these formulas to the case of randomized laws of evolution suggest that stochastic fluctuations about the mean function can be significant even for large initial populations."

中文翻译:

基于一般年龄相关分支过程的随机人口预测系统。

当初始人口规模很大时,关于均值函数的随机波动可以忽略不计。将这些公式进一步扩展到随机演化定律的情况表明,即使对于大量的初始种群,平均函数的随机波动也可能很大。”
更新日期:2019-11-01
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