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Zero Biasing and Jack Measures

Published online by Cambridge University Press:  20 June 2011

JASON FULMAN  and
LARRY GOLDSTEIN
JASON FULMAN
Affiliation:
University of Southern California, Los Angeles, CA 90089-2532, USA (e-mail: fulman@usc.edu, larry@math.usc.edu)
LARRY GOLDSTEIN
Affiliation:
University of Southern California, Los Angeles, CA 90089-2532, USA (e-mail: fulman@usc.edu, larry@math.usc.edu)
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Abstract

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The tools of zero biasing are adapted to yield a general result suitable for analysing the behaviour of certain growth processes. The main theorem is applied to prove a central limit theorem, with explicit error terms in the L1 metric, for a natural statistic of the Jack measure on partitions.

Information

Type
Paper
Information
Combinatorics, Probability and Computing , Volume 20 , Issue 5 , September 2011 , pp. 753 - 762
Copyright
Copyright © Cambridge University Press 2011

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