RESEARCH ARTICLE


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
1 Department of Statistics, University of Dodoma, P.O.Box: 259, Dodoma, Tanzania
2 Department of Statistics, Acharya Nagarjuna University, Guntur, 522 510, India
3 UGC BSR Fellows, Department of Statistics, Acharya Nagarjuna University, Guntur, 522 510, India

Article Information


Identifiers and Pagination:

Year: 2016
Volume: 7
First Page: 45
Last Page: 52
Publisher Id: TOSPJ-7-45
DOI: 10.2174/1876527001607010045

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

© Rao et al.; Licensee Bentham Open

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.

* Address correspondence to this author at the University of Dodoma Department of Statistics, P.O. Box: 259, Dodoma, Tanzania; Tel: +255 767255422; E-mails: gaddesrao@yahoo.com, gaddesrao@gmail.com


Abstract

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.

Keywords: Acceptance Sampling, Operating Characteristic function, Producer’s risk, Truncated life tests.