On Complete Convergence for Nonstationary ϕ-Mixing Random Variables
Aiting Shen,
Xinghui Wang and
Jimin Ling
Communications in Statistics - Theory and Methods, 2014, vol. 43, issue 22, 4856-4866
Abstract:
In this article, we study the complete convergence for non-stationary ϕ-mixing random variables, especially, we get the Baum-Katz-type Theorem and Hsu-Robbins-type Theorem for ϕ-mixing random variables. Our result generalizes the corresponding one of Shao (1988) and improves the corresponding one of Peligrad (1985a) and Wang (1987).
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:43:y:2014:i:22:p:4856-4866
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DOI: 10.1080/03610926.2012.725501
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