SAE International An Engineering Alternative to Statistically Designed Acceptance Tests 2012-01-0205

Description
There are several fundamental problems with statistically designed acceptance tests. Two of the largest problems are the inability to obtain a random sample and the tendency of these tests to reject designs that do not significantly exceed reliability requirements. This paper explores the problems with statistically designed acceptance tests and offers an alternative.
Description
There are several fundamental problems with statistically designed acceptance tests. Two of the largest problems are the inability to obtain a random sample and the tendency of these tests to reject designs that do not significantly exceed reliability requirements. This paper explores the problems with statistically designed acceptance tests and offers an alternative.

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An Engineering Alternative to Statistically Designed Acceptance Tests - 2012-01-0205 - SAE International
Warrendale, PA, United States
An Engineering Alternative to Statistically Designed Acceptance Tests
2012-01-0205
An Engineering Alternative to Statistically Designed Acceptance Tests 2012-01-0205
There are several fundamental problems with statistically designed acceptance tests. Two of the largest problems are the inability to obtain a random sample and the tendency of these tests to reject designs that do not significantly exceed reliability requirements. This paper explores the problems with statistically designed acceptance tests and offers an alternative.

There are several fundamental problems with statistically designed acceptance tests. Two of the largest problems are the inability to obtain a random sample and the tendency of these tests to reject designs that do not significantly exceed reliability requirements. This paper explores the problems with statistically designed acceptance tests and offers an alternative.

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  SAE International
Product Category Standards and Technical Documents
Product Number 2012-01-0205
Product Name An Engineering Alternative to Statistically Designed Acceptance Tests
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