This article presents a procedure and a table for selecting sample size for simultaneously estimating the parameters of a multinomial distribution. The results are obtained by examining the “worst” possible value of a multinomial parameter vector, analogous to the case in which a binomial parameter equals one-half.
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Steven K. Thompson (1987) studied this question.
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