Abstract
The paper deals with maxima and sums of independent random variables. These random variables are the values of independent identically distributed stochastic processes at a random point in time. We obtain conditions for their weak convergence, at almost all points in time to the same infinitely divisible distribution and describe the limit distribution for these sums. Some applications of these results to statistics are considered.
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