Diffusion Approximation of an Array of Controlled Branching Processes

In this paper an array of controlled branching processes is considered. Using operator semigroup convergence theorems, it is proved that the fluctuation limit is a diffusion process under the conditions that the offspring and control means tend to be critical . As an application of this result, in a...

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Published in:Methodology and computing in applied probability 2012-09, Vol.14 (3), p.843-861
Main Authors: González, Miguel, del Puerto, Inés M.
Format: Article
Language:English
Subjects:
Approximation
Arrays
Asymptotic properties
Business and Management
Convergence
Diffusion
Economics
Electrical Engineering
Least squares method
Life Sciences
Mathematical analysis
Mathematical models
Mathematics
Mathematics and Statistics
Probability
Statistics
Studies
Theorems
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description In this paper an array of controlled branching processes is considered. Using operator semigroup convergence theorems, it is proved that the fluctuation limit is a diffusion process under the conditions that the offspring and control means tend to be critical . As an application of this result, in a parametric framework, it is obtained that the bootstrapping distribution of the weighted conditional least squares estimator of the offspring mean in the critical case is not consistent. From this, it is concluded that the standard parametric bootstrap weighted conditional least squares estimate is asymptotically invalid in the critical case.
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source EBSCOhost Business Source Ultimate; ABI/INFORM Global; Springer Nature
subjects Approximation
Arrays
Asymptotic properties
Business and Management
Convergence
Diffusion
Economics
Electrical Engineering
Least squares method
Life Sciences
Mathematical analysis
Mathematical models
Mathematics
Mathematics and Statistics
Probability
Statistics
Studies
Theorems
title Diffusion Approximation of an Array of Controlled Branching Processes
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