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The effect that weighted summands have on each other in approximations of is investigated. Here, ’s are sums of integer-valued random variables, and denote weights, . 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 has the Markov Binomial distribution. The Kolmogorov metric is used to estimate the accuracy of approximation.

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