Abstract
AbstractIn an earlier paper, it was shown that under certain conditions, if the number of classes in a multinomial distribution increases as the number of trials increases, the probabilities assigned to arbitrary regions by the multinomial distribution are close to the probabilities assigned by the distribution of slightly rounded‐off normal random variables. A different method of studying the approximation of the multinomial distribution by a normal distribution is to use the multivariate Berry‐Esseen bound. In this paper, these two methods are compared, particularly with respect to the class of multinomial distributions for which the bounds on the error remain useful.
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