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

T.N. Sriram, A. Bhattacharya, M. González, R. Martínez and I. del Puerto

Stochastic Processes and their Applications, 2007, vol. 117, issue 7, 928-946

Abstract: 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.

Keywords: Branching; processes; Random; control; function; Weighted; conditional; least; squares; estimator; Weak; convergence; Diffusion; approximation (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (3)

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