Testing a simple symmetric hypothesis by a finite-memory deterministic algorithm

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Authors
Anderson, Calvin Marion
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Advisors
Shubert, B.O.
Date of Issue
1973-09
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
A class of finite-memory deterministic algorithms is introduced and investigated, Optimiim algorithms are found for a small number of states (up to 21) and an asymptotic bound on error probability is obtained for a large number of states. The algorithms provide their own stopping rule.
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Thesis
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Department
Operations Research
Organization
Naval Postgraduate School
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