A new Cramèr–von Mises Goodness-of-fit test under Uncertainty

Authors

  • Muhammad Ahsan-ul-Haq College of Statistical & Actuarial Sciences, University of the Punjab, Pakistan

Keywords:

Cramer-von Mises, Neutrosophic Weibull, Neutrosophic Rayleigh, Goodness of fit

Abstract

The Cramer-von Mises test is commonly used to determine how well-observed sample data fits a given model. The existing Cramer-von Mises test under traditional statistics is commonly used when sample data in reliability work are resolute and precise. In this paper, we introduced a Neutrosophic Cramer-von Mises (NCVM) test under neutrosophic statistics. The necessary measures and procedures are presented to perform the test. For the application purpose,
we consider the real-life data sets of failure time batteries and ball bearings. It is inferred that the NCVM test is more instructive than the classical CVM test under indeterminacy.

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Published

2022-04-01

Issue

Vol. 49 (2022): Neutrosophic Sets and Systems

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Ahsan-ul-Haq, M. . (2022). A new Cramèr–von Mises Goodness-of-fit test under Uncertainty. Neutrosophic Sets and Systems, 49, 262-268. http://fs.unm.edu/nss8/index.php/111/article/view/2483