Truncation and acceptance rules for sequential tests of a Bernoulli parameter.

Approved for public release, distribution unlimited === All original copies missing. Best digital copy available. === In the paper, Wald's Sequential Probability Ratio test for a Bernoulli parameter is studied to assess the influence of truncation on the tree probabilities of error of the first...

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Main Author: Petersen, Jurgen
Other Authors: Lindsay, Glenn F.
Language:en_US
Published: Monterey, California. Naval Postgraduate School 2014
Online Access:http://hdl.handle.net/10945/41078
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-410782014-11-27T16:19:44Z Truncation and acceptance rules for sequential tests of a Bernoulli parameter. Petersen, Jurgen Lindsay, Glenn F. Barr, Donald R. Naval Postgraduate School (U.S.) Approved for public release, distribution unlimited All original copies missing. Best digital copy available. In the paper, Wald's Sequential Probability Ratio test for a Bernoulli parameter is studied to assess the influence of truncation on the tree probabilities of error of the first and second kind. It is shown that a natural truncation point exists for every SPR test such that the desired error probabilities are not exceeded. Extended acceptance rules were described whose use allows truncation comparatively early when certain sample sizes are picked. The true error probabilities achieved are either both smaller or equal to the desired ones or one is smaller or equal and the other is exceeded. In the latter case, that probability of error that shall not be exceeded can be chosen and the other will be as small as possible. A listing of 126 SPR plans useful in quality control applications has been included which gives all described truncation points with the applicable acceptance rules and the values for the true probabilities of error. 2014-05-05T18:13:50Z 2014-05-05T18:13:50Z 1980-09 Thesis http://hdl.handle.net/10945/41078 o640088740 en_US This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. Monterey, California. Naval Postgraduate School
collection NDLTD
language en_US
sources NDLTD
description Approved for public release, distribution unlimited === All original copies missing. Best digital copy available. === In the paper, Wald's Sequential Probability Ratio test for a Bernoulli parameter is studied to assess the influence of truncation on the tree probabilities of error of the first and second kind. It is shown that a natural truncation point exists for every SPR test such that the desired error probabilities are not exceeded. Extended acceptance rules were described whose use allows truncation comparatively early when certain sample sizes are picked. The true error probabilities achieved are either both smaller or equal to the desired ones or one is smaller or equal and the other is exceeded. In the latter case, that probability of error that shall not be exceeded can be chosen and the other will be as small as possible. A listing of 126 SPR plans useful in quality control applications has been included which gives all described truncation points with the applicable acceptance rules and the values for the true probabilities of error.
author2 Lindsay, Glenn F.
author_facet Lindsay, Glenn F.
Petersen, Jurgen
author Petersen, Jurgen
spellingShingle Petersen, Jurgen
Truncation and acceptance rules for sequential tests of a Bernoulli parameter.
author_sort Petersen, Jurgen
title Truncation and acceptance rules for sequential tests of a Bernoulli parameter.
title_short Truncation and acceptance rules for sequential tests of a Bernoulli parameter.
title_full Truncation and acceptance rules for sequential tests of a Bernoulli parameter.
title_fullStr Truncation and acceptance rules for sequential tests of a Bernoulli parameter.
title_full_unstemmed Truncation and acceptance rules for sequential tests of a Bernoulli parameter.
title_sort truncation and acceptance rules for sequential tests of a bernoulli parameter.
publisher Monterey, California. Naval Postgraduate School
publishDate 2014
url http://hdl.handle.net/10945/41078
work_keys_str_mv AT petersenjurgen truncationandacceptancerulesforsequentialtestsofabernoulliparameter
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