© 1973 by Biometrika Trust
On minimizing the risk in certain sequential tests
Southern Methodist University and University of Texas Health Sciences Center at Dallas
For tests of two values of a parameter
from a family of distributions indexed by
, the class of sequential probability ratio tests is considered, including procedures in which no observations are taken. With a simple loss structure, the Bayes risk for given error probabilities is minimized in this class; in this paper, the nominal risk is minimized without constraints on the error probabilities, and the results compared numerically with approximations of Chernoff. This is done for
in a general class of distributions, in more detail when
is the mean of a multinormal distribution and losses for wrong decision are equal, and also for tests in which the error probabilities are equal.
Key Words: Sequential probability ratio tests Optimal decision rules Minimizing the Bayes risk Multinomial mean vector