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Estimation of the offspring mean in a controlled branching process with a random control function

机译:带有随机控制功能的受控分支过程中后代均值的估计

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摘要

Controlled branching processes (CBP) with a random control function provide a useful way to model generation sizes in population dynamics studies, where control on the growth of the population size is necessary at each generation. An important special case of this process is the well known branching process with immigration. Motivated by the work of Wei and Winnicki [C.Z. Wei, J. Winnicki, Estimation of the mean in the branching process with immigration, Ann. Statist. 18 (1990) 1757–1773], we develop a weighted conditional least squares estimator of the offspring mean of the CBP and derive the asymptotic limit distribution of the estimator when the process is subcritical, critical and supercritical. Moreover, we show the strong consistency of this estimator in all the cases. The results obtained here extend those of Wei and Winnicki [C.Z. Wei, J. Winnicki, Estimation of the mean in the branching process with immigration, Ann. Statist. 18 (1990) 1757–1773] for branching processes with immigration and provide a unified limit theory of estimation.
机译:具有随机控制功能的受控分支过程(CBP)提供了一种有用的方法来模拟种群动态研究中的世代大小,在这种情况下,每一代都需要控制种群大小的增长。此过程的一个重要特例是众所周知的带移民的分支过程。由Wei和Winnicki [C.Z. Wei,J。Winnicki,《移民过程中均值的估计》,安。统计员。 18(1990)1757–1773],我们开发了CBP子代均值的加权条件最小二乘估计器,并在过程为次临界,临界和超临界状态时推导了估计器的渐近极限分布。此外,我们证明了在所有情况下该估计量的强一致性。此处获得的结果扩展了Wei和Winnicki [C.Z. Wei,J. Winnicki,《移民过程中均值的估计》,安。统计员。 18(1990)1757–1773]提出了带有移民的分支过程,并提供了统一的估计极限理论。

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