A Comparison of Methods for Univariate and Multivariate Acceptance Sampling by Variables

DOI10.2307/1269917zbMath0837.62079OpenAlexW2047767010MaRDI QIDQ4864362

David C. Hamilton, Mary L. Lesperance

Publication date: 20 May 1996

Full work available at URL: https://doi.org/10.2307/1269917

zbMATH Keywords

maximum likelihood methodmultivariateminimum variance unbiased estimatorunivariatenormal dataspecification limitsgas industryacceptance-sampling methods

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Related Items (5)

Optimal design of multivariate acceptance sampling plans by variables ⋮ Tests for assessment of agreement using probability criteria ⋮ The lrt method of constructing a two-sided “variables” acceptance region and its comparison with other methods ⋮ Exact Multi-attribute Acceptance Single Sampling Plan ⋮ Calculating the mvue of the fraction nonconforming for the bivariate normal

Uses Software

• AS 195

This page was built for publication: A Comparison of Methods for Univariate and Multivariate Acceptance Sampling by Variables