Multiparameter hypothesis testing and acceptance sampling

Roger L. Berger

Research output: Contribution to journalArticle

210 Citations (Scopus)

Abstract

The quality of a product might be determined by several parameters, each of which must meet certain standards before the product is acceptable. In this article, a method of determining whether all the parameters meet their respective standards is proposed. The method consists of testing each parameter individually and deciding that the product is acceptable only if each parameter passes its test. This simple method has some optimal properties including attaining exactly a prespecified consumer's risk and uniformly minimizing the producer's risk. These results are obtained from more general hypothesis-testing results concerning null hypotheses consisting of the unions of sets.

Original languageEnglish (US)
Pages (from-to)295-300
Number of pages6
JournalTechnometrics
Volume24
Issue number4
DOIs
StatePublished - 1982
Externally publishedYes

Fingerprint

Acceptance Sampling
Hypothesis Testing
Sampling
Testing
Producer's Risk
Consumer Risk
Null hypothesis
Union
Standards

Keywords

  • Consumer's risk
  • Multiple inference
  • Producer's risk

ASJC Scopus subject areas

  • Modeling and Simulation
  • Applied Mathematics
  • Statistics and Probability

Cite this

Multiparameter hypothesis testing and acceptance sampling. / Berger, Roger L.

In: Technometrics, Vol. 24, No. 4, 1982, p. 295-300.

Research output: Contribution to journalArticle

Berger, Roger L. / Multiparameter hypothesis testing and acceptance sampling. In: Technometrics. 1982 ; Vol. 24, No. 4. pp. 295-300.
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