Uncertainty-based sampling plans for various statistical distributions
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
AIMS Press
Abstract
This research work appertains to the acceptance sampling plan under the neutrosophic statistical interval method (ASP-NSIM) based on gamma distribution (GD), Burr type XII distribution (BXIID) and the Birnbaum-Saunders distribution (BSD). The plan parameters will be determined using the neutrosophic non-linear optimization problem. We will provide numerous tables for the three distributions using various values of shape parameters and degree of indeterminacy. The efficiency of the proposed ASP-NSIM will be discussed over the existing sampling plan in terms of sample size. The application of the proposed ASP-NSIM will be given with the aid of industrial data.
Description
Full text Article. Also available at http://www.aimspress.com/article/doi/10.3934/math.2023744
Keywords
Acceptance sampling plan, Producer’s risk, Consumer’s risk, Neutrosophic method, Neutrosophic non-linear optimization problem, Statistical distribution, Gamma distribution, Burr type XII distribution
Citation
Khan, N., Rao, G. S., Sherwani, R. A. K., & Hussein, A. (2023). Uncertainty-based sampling plans for various statistical distributions. AIMS Mathematics, 8(6), 14558-14571.