Abstract:The effect that weighted summands have on each other in approximations of S = w1S1 + w2S2 + · · · + wN SN is investigated. Here, Si's are sums of integer-valued random variables, and wi denote weights, i = 1, . . . , N . Two cases are considered: the general case of independent random variables when their closeness is ensured by the matching of factorial moments and the case when the Si has the Markov Binomial distribution. The Kolmogorov metric is used to estimate the accuracy of approximation.
We overview the results on the topic of compound Poisson approximation to the distribution of a sum Sn = X 1 + • • • + Xn of (possibly dependent) random variables. We indicate a number of open problems and discuss directions of further research.
We overview the results on the topic of compound Poisson approximation to the distribution of a sum Sn = X 1 + • • • + Xn of (possibly dependent) random variables. We indicate a number of open problems and discuss directions of further research.
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