| dc.creator |
Rao, G. S |
|
| dc.creator |
Rosaiah, K |
|
| dc.creator |
Kalyani, K |
|
| dc.creator |
Sivakumar, D. C. U |
|
| dc.date |
2020-11-24T14:07:26Z |
|
| dc.date |
2020-11-24T14:07:26Z |
|
| dc.date |
2016 |
|
| dc.date.accessioned |
2022-10-20T13:09:18Z |
|
| dc.date.available |
2022-10-20T13:09:18Z |
|
| dc.identifier |
Rao, G. S., Rosaiah, K., Kalyani, K., & Sivakumar, D. C. U. (2016). A new acceptance sampling plans based on percentiles for odds exponential log logistic distribution. The Open Statistics & Probability Journal, 7(1), 45-52. |
|
| dc.identifier |
DOI: 10.2174/1876527001607010045 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/2588 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/2588 |
|
| dc.description |
Full text article. Also available at https://benthamopen.com/ABSTRACT/TOSPJ-7-45 |
|
| dc.description |
In this paper, acceptance sampling plans are developed for the odds exponential log logistic distribution (OELLD)
introduced by Rosaiah et al. [1] based on lifetime percentiles when the life test is truncated at a predetermined time. The minimum
sample size necessary to ensure the specified lifetime percentile is obtained under a given customer’s risk. The operating
characteristic values of the sampling plans as well as the producer’s risk are presented. One example with real data set is also given
as an illustration. |
|
| dc.language |
en |
|
| dc.publisher |
Bentham Science Publishers |
|
| dc.subject |
Sampling |
|
| dc.subject |
Acceptance sampling |
|
| dc.subject |
Operating characteristic function |
|
| dc.subject |
Producers risk |
|
| dc.subject |
Truncated life tests |
|
| dc.subject |
Sampling plans |
|
| dc.title |
A new acceptance sampling plans based on percentiles for odds exponential log logistic distribution |
|
| dc.type |
Article |
|