Estimating general variable acceptance sampling plans by bootstrap methods

DOI10.1080/0266476022000011274zbMath1121.62368OpenAlexW2064278713MaRDI QIDQ3591780

Herwig Friedl, Erwin Stampfer

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0266476022000011274

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Simulated power functions
• Some asymptotic theory for the bootstrap
• Bootstrap methods: another look at the jackknife
• Estimating the Power of the Two-Sample Wilcoxon Test for Location Shift
• Determining the Appropriate Sample Size for Nonparametric Tests for Location Shift
• Inverse-gaussian acceptance sampling plans by variables
• Acceptance sampling plans by variables for a class of symmetric distributions
• Summary of Recent Work on Variables Acceptance Sampling with Emphasis on Non-Normality
• On Designing Unknown-Sigma Sampling Plans Based on a Wide Class of Non-Normal Distributions

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