A New Acceptance Sampling Plans Based on Percentiles for Odds Exponential Log Logistic Distribution
G.S. Rao1, *, K. Rosaiah2, K. Kalyani3, D.C.U. Sivakumar3
Department of Statistics, University of Dodoma, P.O.Box: 259, Dodoma, Tanzania
Department of Statistics, Acharya Nagarjuna University, Guntur, 522 510, India
UGC BSR Fellows, Department of Statistics, Acharya Nagarjuna University, Guntur, 522 510, India
In this paper, acceptance sampling plans are developed for the odds exponential log logistic distribution (OELLD) introduced by Rosaiah et al.  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.
Keywords: Acceptance Sampling, Operating Characteristic function, Producer’s risk, Truncated life tests.
Received Date: 24/05/2016
Revision Received Date: 08/09/2016
Acceptance Date: 23/09/2016
Electronic publication date: 30/11/2016
Collection year: 2016
© Rao et al.; Licensee Bentham Open
* Address correspondence to this author at the University of Dodoma Department of Statistics, P.O. Box: 259, Dodoma, Tanzania; Tel: +255 767255422; E-mails: firstname.lastname@example.org, email@example.com
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