Large sample sizes for the estimation of multinomial frequencies from simulation studies

Abstract

This paper deals with the calculation of large sample sizes for which confidence intervals of given widths for k multinomial frequencies are simultaneously correct at a given significance level. It is shown that a method for determining such sample sizes yields less conservative results than those given by other methods in use. Also, a less conservative empirical bound for sample sizes is proposed for confidence intervals of the same width.