New Acceptance Sampling Plans Based on Percentiles for Type-II Generalized Log Logistic Distribution

G. Srinivasa Rao^1, , K. Rosaiah² and S. V. S. V. S. V. Prasad³

¹Department of Statistics, The University of Dodoma, P.O.Box: 259, Tanzania

²Department of Statistics, Acharya Nagarjuna University, Guntur - 522 510, India

³Reserve Bank of India, Nagpur-440001, India

Cite this paper

G. Srinivasa Rao, K. Rosaiah and S. V. S. V. S. V. Prasad. New Acceptance Sampling Plans Based on Percentiles for Type-II Generalized Log Logistic Distribution. American Journal of Applied Mathematics and Statistics. 2019; 7(4):131-137. doi: 10.12691/AJAMS-7-4-2

Abstract

This article describes the development of an acceptance sampling plan based on percentiles for Type-II generalized log-logistic distribution (TGLLD) introduced by Rosaiah et. al. [1]. The plan is developed by considering the lifetime percentiles as a variable and the life test will be terminated at a pre-specified time. The objective of the test is to determine the minimum sample size required to achieve a specific lifetime percentile at an acceptable level of consumer and producer risks. Determined the OC values and are presented along with producer risks. The sustainability of the plan is illustrated with real data set.

Keywords

Type-II generalized log-logistic distribution, acceptance sampling, truncated life test

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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