A central limit theorem for multivariate strongly mixing random fields

  1. Cristina Tone

Abstract

In this paper we extend a theorem of Bradley under interlaced mixing and strong mixing conditions. More precisely, we study the asymptotic normality of the normalized partial sum of an α-mixing strictly stationary random field of random vectors, in the presence of another dependence assumption.
2000 AMS Mathematics Subject Classification: Primary: 60F05; Secondary: 60G60.

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Probability and Mathematical Statistics

30, z. 2, 2010

Pages from 215 to 222

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