Statistical Analysis for Food Quality in the Presence of Vague Information

The present study introduces the neutrosophic statistical test to see investigate the difference between variances of two populations when correlation exits in pair observations. The procedure and statistic of the proposed test under neutrosophic statistics are introduced in the paper. The applicati...

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Bibliographic Details
Main Authors: Ali Hussein Al-Marshadi, Muhammad Aslam
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Journal of Food Quality
Online Access:http://dx.doi.org/10.1155/2021/7373620
Description
Summary:The present study introduces the neutrosophic statistical test to see investigate the difference between variances of two populations when correlation exits in pair observations. The procedure and statistic of the proposed test under neutrosophic statistics are introduced in the paper. The application of the proposed test is given using the food industry data. The efficiency of the proposed test is compared with that of the existing test in terms of the measure of indeterminacy, flexibility, and information. From the real application and comparative studies, it is concluded that the proposed test is quite reasonable to apply in uncertainty.
ISSN:1745-4557