Introduction to Neutrosophic Statistics
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Abstract (arXiv)
Neutrosophic Statistics means statistical analysis of population or sample that has indeterminate (imprecise, ambiguous, vague, incomplete, unknown) data. For example, the population or sample size might not be exactly determinate because of some individuals that partially belong to the population or sample, and partially they do not belong, or individuals whose appurtenance is completely unknown. Also, there are population or sample individuals whose data could be indeterminate. In this book, we develop the 1995 notion of neutrosophic statistics. We present various practical examples. It is possible to define the neutrosophic statistics in many ways, because there are various types of indeterminacies, depending on the problem to solve.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 8 Jun 2014.
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- 2024A Python Framework for Neutrosophic Sets and Mappingscited by 0
- 2024A Python Framework for Neutrosophic Sets and Mappings24 Mar 2024