An L1-Convergence Theorem for Heterogeneous Mixingale Arrays with Trending Moments (Now published in Statistics & Probability Letters 16 (1993), pp.301-304.)

James Davidson

STICERD - Econometrics Paper Series from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE

Abstract: This paper gives a generalization of an L1-convergence theorem for dependent processes due to Andrews (1988). Among the cases covered by this result are weak laws of large numbers of random sequences {X1} having moments tending to either infinity or zero as t ? ?.

Keywords: L1-convergence theorem; heterogeneous mixingale arrays; weak laws of large numbers; random sequences; trending moments. (search for similar items in EconPapers)
Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:cep:stiecm:242

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