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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Bibliographic Details
Published in:	Journal of big data Vol. 11; no. 1; pp. 4 - 10
Main Author:	Aslam, Muhammad
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V SpringerOpen
Subjects:	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
Online Access:	Get full text
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