Title :
Determining Sample Size When Searching for Rare Items
Author :
Madsen, Richard W. ; Holstein, James E.
Author_Institution :
Department of Statistics; University of Missouri; Columbia, Missouri 65211 USA.
Abstract :
Reliability and safety engineers are frequently searching for relatively rare items such as defective connections in a core auxiliary cooling system. They are involved with the problem of determining how large a sample should be taken from a finite dichotomous population when the proportion of defective items is thought to be small. We present a non-Bayesian and a Bayesian approach to determine sample size.
Keywords :
Bayesian methods; Inspection; Polynomials; Probability; Reliability engineering; Reliability theory; Sampling methods; Software reliability; Software safety; Statistical distributions; Binomial prior distribution; Finite dichotomous population; Hypergeometric conditional distribution; Rare items; Sample size;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1982.5221429