Local information and the design of sequential hypothesis tests

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Abstract

Various results on sequential hypotheses testing are reviewed. Optimal stopping rules are related to a local measure of statistical information. In some cases, local information can be approximated by L-numbers discovered by Lorden, and simple rules based on these approximations are asymptotically optimal to better order than the cost for a single observation. © 2004 Elsevier B.V. All rights reserved.

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APA

Keener, R. W. (2005). Local information and the design of sequential hypothesis tests. Journal of Statistical Planning and Inference, 130(1–2), 111–125. https://doi.org/10.1016/j.jspi.2003.10.011

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