Error exponents in hypothesis testing

id: error-exponents-in-hypothesis-testing-319-12273421
title: Error exponents in hypothesis testing
text: In statistical hypothesis testing, the error exponent of a hypothesis testing procedure is the rate at which the probabilities of Type I and Type II decay exponentially with the size of the sample used in the test. For example, if the probability of error P e r r o r of a test decays as e − n β , where n is the sample size, the error exponent is β . Formally, the error exponent of a test is defined as the limiting value of the ratio of the negative logarithm of the error probability to the sampl
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original url: https://en.wikipedia.org/wiki/Error_exponents_in_hypothesis_testing
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date modified: 2021-06-15T11:50:12Z
main entity: {"identifier":"Q65058902","url":"https://www.wikidata.org/entity/Q65058902"}
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