Analysis of imprecise measurement data utilizing z-test for correlation

The conventional Z-test for correlation, grounded in classical statistics, is typically employed in situations devoid of vague information. However, real-world data often comes with inherent uncertainty, necessitating an adaptation of the Z-test using neutrosophic statistics. This paper introduces a...

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Vydáno v:	Journal of big data Ročník 11; číslo 1; s. 4 - 10
Hlavní autor:	Aslam, Muhammad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V SpringerOpen
Témata:	Ambiguity Big Data Communications Engineering Computational Science and Engineering Computer Science Correlation Correlation analysis Data Data Mining and Knowledge Discovery Database Management Decision making Hypotheses Imprecise data Information Storage and Retrieval Mathematical Applications in Computer Science Measurement Medical data Networks Normal distribution Random variables Science Simulation Statistical methods Statistical tests Statistics Tests Uncertainty Z-test Medical data Z-test Correlation Statistics Imprecise data
ISSN:	2196-1115, 2196-1115
On-line přístup:	Získat plný text
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