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A Strong Law of Large Numbers for Super-stable Processes.
Convergence rates in the strong law of large numbers for sums of random variables with multidimensional indices
It is shown that Teicher's version of the strong law of large numbers for random variables, taking values in separable Banach spaces, holds under the assumption that the weak law of large numbers h...
Let f be a random variable with values in a metric space (X, d). For some class of metric spaces we define in terms of the metric d mathematical expectation of f as a closed bounded and non-empty s...
We present the Marcinkiewicz-type strong law of large numbers for random fields {X,, n E Zd,) of pairwise independent random variables, where Zd,, d & 1, is the set of positive d-dimensional lattic...
We use our maximum inequality for p-th order random variables (p>1) to prove a strong law of large numbers (SLLN) for sequences of p-th order random variables. In particular, in the case p=2 our resu...
In the paper we define the convergence of compact fuzzy sets as a convergence of -cuts in the topology of compact subsets of a metric space. Furthermore we define typical convergences of fuzzy vari...
In this paper, we provide a necessary and sufficient condition for general d-dimensional arrays of random variables to satisfy strong law of large numbers. Then, we apply the result to obtain some str...

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