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A strong law of large numbers for identically distributed vector lattice- valued random variables. (English) Zbl 0599.60038
For over twenty years many authors have devoted their attention to the laws of large numbers and to similar convergence theorems, i.e. the results on the convergence of weighted sums of random variables in one or another sense. While a number of interesting results has been produced for the norm topology, the theory is much less developed for the weak topology and almost completely neglected is the convergence with respect to the order. It is the latter case I intend to discuss. The main reason for doing so is that in a number of spaces the order convergence is stronger than the topological one (e.g. \(L^ p\)-spaces, \(1\leq p<\infty)\).

60F25 \(L^p\)-limit theorems
60B12 Limit theorems for vector-valued random variables (infinite-dimensional case)
60F15 Strong limit theorems
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