Abstract: | This paper deals with the problem how to determine the necessary sample size for the estimation of the parameter π=(π1,...,πk)
(πj ≥ 0, Σjπj=1) based on the vector f=(f1,...,fk) of relative frequencies with sample size n. The vector n-f has a multinomial
distribution. For a given precision c, 0≤c≤1, and a given confidence number β, 0≤β≤1, there exists a smallest positive integer
N0=N0(β, c, k) with P{|fj−πj|≤c; j=1, ...,k}≥β for all sample sizes n≥N0 and for all π. As results are given in this paper exact upper bounds for N0 and an improved asymptotical upper bound for N0 which is derived from the asymptotical multinormal approximation for the distribution of f. |