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Sequential Stopping Rules for Fixed-Sample Acceptance Tests.
- Source :
- Operations Research; Jan/Feb74, Vol. 22 Issue 1, p100, 8p
- Publication Year :
- 1974
-
Abstract
- This paper discusses optimal stopping rules for fixed-sample acceptance tests where the observations with time delays are obtained sequentially. It studies two cases, one with a known prior distribution and the other one without a prior distribution, discusses Bayes-optimal and minimax stopping rules, and considers a stopping rule using the maximum likelihood estimate of θ, the probability of a single success. An example is given assuming that the prior distribution is a beta distribution. It is shown that the Bayes-optimal stopping rule thus obtained approaches the stopping rule using the maximum likelihood estimate when the beta parameters, α and β, approach zero. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0030364X
- Volume :
- 22
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 6669532
- Full Text :
- https://doi.org/10.1287/opre.22.1.100