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Asymptotic Expansions for Array Branching Processes with Applications to Bootstrapping

Published online by Cambridge University Press:  14 July 2016

T. N. Sriram*
Affiliation:
University of Georgia
*
∗ Postal address: Department of Statistics, University of Georgia, Athens, GA 30602, USA.

Abstract

Asymptotic expansions are obtained for the distribution function of a studentized estimator of the offspring mean sequence in an array branching process with immigration. The expansion result is shown to hold in a test function topology. As an application of this result, it is shown that the bootstrapping distribution of the estimator of the offspring mean in a sub-critical branching process with immigration also admits the same expansion (in probability). From these considerations, it is concluded that the bootstrapping distribution provides a better approximation asymptotically than the normal distribution.

Information

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1998 

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