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{"references": ["J. R. Blum, D. L. Hanson, L. H. Koopmans, On the Strong Law of Large\nNumbers for a Class of Stochastic Processes , Z. Wahrscheinlichkeitstheorie.\nVerwandte Geb. 2(1963)1-11.", "W. F. Stout, Almost sure convergence, Academic Press. New York,1974.", "P. Hall, C. C. Heyde , Martingale Limit Theory and its Application,\nAcademic Press, New York, 1980.", "Q. M. Shao, Almost sure invariance principles for mixing sequences of\nrandom variables, Stochastic Process. Appl. 48 (1993) 319-334."]}
Strong law of large numbers and complete convergence for sequences of *-mixing random variables are investigated. In particular, Teicher-s strong law of large numbers for independent random variables are generalized to the case of *-mixing random sequences and extended to independent and identically distributed Marcinkiewicz Law of large numbers for *-mixing.
strong law of large numbers, Lacunary System, martingale differences, mixing squences
strong law of large numbers, Lacunary System, martingale differences, mixing squences
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