  In this paper, we develop a simple approach for testing multiple statistical
hypotheses based on the observations of a number of probability ratios
enumerated consecutively with respect to the index of hypotheses. Explicit and
tight bounds for the probability of making wrong decisions are obtained for
choosing appropriate parameters for the proposed tests. In the special case of
testing two hypotheses, our tests reduce to Wald's sequential probability ratio
tests.
