Bayes Sequential Estimation of Multinomial Parameters

Abstract

Abstract This paper is concerned with the sequential estimation of the k parameters of the multinomial distribution with (k+1) classes, for quadratic loss and constant observation cost. An upper bound for the maximum sample size is obtained and some properties of the stopping boundary are found. A numerical example is presented concerning the trinomial distribution.