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
Identifiers and Pagination:Year: 2016
First Page: 45
Last Page: 52
Publisher Id: TOSPJ-7-45
Article History: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
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
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.