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Symmetry 2019, 11(1), 80; https://doi.org/10.3390/sym11010080

Design of Variable Sampling Plan for Pareto Distribution Using Neutrosophic Statistical Interval Method

1
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
2
Department of Statistics, University of Veterinary and Animal Sciences, Lahore 54000, Jhang campus, Lahore, Pakistan
*
Author to whom correspondence should be addressed.
Received: 18 December 2018 / Revised: 3 January 2019 / Accepted: 5 January 2019 / Published: 11 January 2019
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Abstract

The sampling plans have been widely used for the inspection of a lot of the product. In practice, the measurement data may be imprecise, uncertain, unclear or fuzzy. When there is uncertainty in the observations, the sampling plans designed using classical statistics cannot be applied for the inspection of a lot of the product. The neutrosophic statistic, which is the generalization of the classical statistics, can be used when data is not precise, uncertain, unclear or fuzzy. In this paper, we will design the variable sampling plan under the Pareto distribution using the neutrosophic statistics. We used the symmetry property of the normal distribution. We assume uncertainty in measurement data and sample size required for the inspection of a lot of the product. We will determine the neutrosophic plan parameters using the neutrosophic optimization problem. Some tables are given for practical use and are discussed with the help of an example. View Full-Text
Keywords: uncertainty; Pareto distribution; classical statistics; optimization problem; inspection uncertainty; Pareto distribution; classical statistics; optimization problem; inspection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Aslam, M.; Khan, N.; AL-Marshadi, A.H. Design of Variable Sampling Plan for Pareto Distribution Using Neutrosophic Statistical Interval Method. Symmetry 2019, 11, 80.

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