Premium
Optimal Bayesian single‐sampling attribute plans with modified beta prior distribution
Author(s) -
Tagaras George,
Lee Hau L.
Publication year - 1987
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/1520-6750(198712)34:6<789::aid-nav3220340604>3.0.co;2-d
Subject(s) - beta distribution , fraction (chemistry) , bayesian probability , sampling (signal processing) , computer science , mathematical optimization , algorithm , sampling distribution , data mining , mathematics , statistics , artificial intelligence , filter (signal processing) , computer vision , chemistry , organic chemistry
In this article we study the properties of the optimal Bayesian single‐sampling plans when the prior distribution of the lot fraction defective is modified Beta, which has been found useful in the analysis of inspection schemes for complex production systems. These properties are used to devise an improved and more efficient algorithm for the determination of the optimal sampling plans. Numerical examples are presented to illustrate the potential computational savings of the algorithm.