Geodesic
On the strong law of large numbers for a sequence of nonnegative random variables
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 16, Tome 384 (2010), pp. 182-184 Cet article a éte moissonné depuis la source Math-Net.Ru

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New sufficient conditions are found for the applicability of the strong law of large numbers to a sequence of dependent nonnegative random variables with finite variances. Bibl. 4 titles. 
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V. V. Petrov. On the strong law of large numbers for a sequence of nonnegative random variables. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 16, Tome 384 (2010), pp. 182-184. http://geodesic.mathdoc.fr/item/ZNSL_2010_384_a8/

[1] V. V. Petrov, “Ob usilennom zakone bolshikh chisel dlya posledovatelnosti neotritsatelnykh sluchainykh velichin”, Teoriya veroyatn. i ee primen., 53:2 (2008), 379–382 | DOI | Zbl

[2] N. Etemadi, “On the law of large numbers for nonnegative random variables”, J. Multivariate Analysis, 13:1 (1983), 187–193 | DOI | MR | Zbl

[3] A. V. Bulinskii, A. P. Shashkin, Predelnye teoremy dlya assotsiirovannykh sluchainykh polei i rodstvennykh sistem, Fizmatlit, Moskva, 2008

[4] A. Dvoretzky, “On the strong stability of a sequence of events”, Ann. Math. Statist., 20:2 (1949), 296–299 | DOI | MR | Zbl