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Biometrika 1973 60(3):509-515; doi:10.1093/biomet/60.3.509
© 1973 by Biometrika Trust
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On minimizing the risk in certain sequential tests

CAMPBELL B. READ

Southern Methodist University and University of Texas Health Sciences Center at Dallas

For tests of two values of a parameter {theta} from a family of distributions indexed by {theta}, 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 {theta} in a general class of distributions, in more detail when {theta} 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


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