Essentially ML ASN-Minimax double sampling plans
Methodology
2011-06-22 v1
Abstract
Subject of this paper is ASN-Minimax (AM) double sampling plans by variables for a normally distributed quality characteristic with unknown standard deviation and two-sided specification limits. Based on the estimator p* of the fraction defective p, which is essentially the Maximum-Likelihood (ML) estimator, AM-double sampling plans are calculated by using the random variables p*_1 and p*_p relating to the first and pooled samples, respectively. Given p_1, p_2, {\alpha}, and {\beta}, no other AM-double sampling plans based on the same estimator feature a lower maximum of the average sample number (ASN) while fulfilling the classical two-point condition on the corresponding operation characteristic (OC).
Cite
@article{arxiv.1106.4160,
title = {Essentially ML ASN-Minimax double sampling plans},
author = {Eno Vangjeli},
journal= {arXiv preprint arXiv:1106.4160},
year = {2011}
}