Acceptance sampling based on life tests: Log-logistic model
The problem of acceptance sampling when the life test is truncated at a preassigned time is considered. For various acceptance numbers, confidence levels and values of the ratio of the fixed experimental time to the specified average life, the minimum sample size necessary to ensure the specified average life, are obtained under the assumption that the lifetime variate of the test items follows a distribution belonging to Burr's family XII of distributions - called the log-logistic model. The operating characteristic values of the sampling plans and producer's risk are presented. The results are illustrated by an example.
Year of publication: |
2001
|
---|---|
Authors: | Kantam, R. R. L. ; Rosaiah, K. ; Rao, G. Srinivasa |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 28.2001, 1, p. 121-128
|
Publisher: |
Taylor & Francis Journals |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
An economic reliability test plan: Log-logistic distribution
Kantam, R. R. L., (2006)
-
Bootstrap confidence intervals of CNpk for type-II generalized log-logistic distribution
Gadde, Srinivasa Rao, (2019)
-
Extreme value charts and analysis of means based on half logistic distribution
Boyapati, Srinivasa Rao, (2012)
- More ...