Multiparameter Hypothesis Testing and Acceptance Sampling.

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 paper, 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 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. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA091607

Entities

People

  • Roger L. Berger

Organizations

  • Florida State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Data Science
  • Fire Resistance
  • Heavy Duty
  • Hypotheses
  • Information Science
  • Materials
  • Measurement
  • Military Research
  • New York
  • Quality Control
  • Resistance
  • Sampling
  • Specifications
  • Standards
  • Statistical Inference
  • Statistics
  • Textile Industry

Readers

  • Regression Analysis.