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Introducing Kolmogorov–Smirnov Tests under Uncertainty: An Application to Radioactive Data

[Image: see text] The Kolmogorov–Smirnov (K–S) tests based on the assumptions of determined observations in the sample have been popularly applied for the analysis of the data. The existing K–S tests for one sample and two samples cannot be applied when the data contains neutrosophic observations me...

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Detalles Bibliográficos
Autor principal: Aslam, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964527/
https://www.ncbi.nlm.nih.gov/pubmed/31956845
http://dx.doi.org/10.1021/acsomega.9b03940
Descripción
Sumario:[Image: see text] The Kolmogorov–Smirnov (K–S) tests based on the assumptions of determined observations in the sample have been popularly applied for the analysis of the data. The existing K–S tests for one sample and two samples cannot be applied when the data contains neutrosophic observations measured from the complex system or under uncertainty. In this paper, we propose the generalization of the existing K–S tests under the neutrosophic statistics. The proposed tests are known as neutrosophic Kolmogorov–Smirnov (NK–S) tests. We present the necessary measures and procedures to perform the proposed tests. An example and advantages of the proposed NK–S tests are given in the paper.