The Stringer bound is a widely used nonparametric 100(1−alpha�)% upper confidence
bound for the fraction of errors in an accounting population. This bound has been
found in practice to be rather conservative, but no rigorous mathematical proof
of the correctness of the Stringer bound as an upper confidence bound is known
and also no counterexamples are available. In a pioneering paper Bickel (1992)
has given some fixed sample support to the bound’s conservatism together with an
asymptotic expansion in probability of the Stringer bound, which has led to his
claim of the asymptotic conservatism of the Stringer bound. In the present paper
we obtain expansions of arbitrary order of the coefficients in the Stringer bound.
As a consequence we obtain Bickel’s asymptotic expansion with probability 1 and
we show that the asymptotic conservatism holds for confidence levels 1 − alpha �, with alpha \in (0, 1/2 ]. It means that in general also in a finite sampling situation the Stringer
bound does not necessarily have the right confidence level. Based on our expansions
we propose a modified Stringer bound which has asymptotically precisely the right
nominal confidence level. Finally, we discuss other consequences of the expansions
of the Stringer bound such as a central limit theorem, a law of the iterated logarithm
and the functional versions of them.
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