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Mean and variance of ratios of proportions from categories of a multinomial distribution. (English) Zbl 1394.62012
Summary: Ratio distribution is a probability distribution representing the ratio of two random variables, each usually having a known distribution. Currently, there are results when the random variables in the ratio follow (not necessarily the same) Gaussian, Cauchy, binomial or uniform distributions. In this paper we consider a case, where the random variables in the ratio are joint binomial components of a multinomial distribution. We derived formulae for mean and variance of this ratio distribution using a simple Taylor-series approach and also a more complex approach which uses a slight modification of the original ratio. We showed that the more complex approach yields better results with simulated data. The presented results can be directly applied in the computation of confidence intervals for ratios of multinomial proportions.
MSC:
 62E15 Exact distribution theory in statistics 62H05 Characterization and structure theory for multivariate probability distributions; copulas 60E05 Probability distributions: general theory
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