Cochran’s Q test for analyzing categorical data under uncertainty

Motivation The Cochran test, also known as Cochran’s Q test, is a statistical procedure used to assess the consistency of proportions across multiple groups in a dichotomous dataset Description This paper introduces a modified version of Cochran’s Q test using neutrosophic statistics to handle uncer...

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Vydané v:	Journal of big data Ročník 10; číslo 1; s. 147 - 10
Hlavný autor:	Aslam, Muhammad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.12.2023 Springer Nature B.V SpringerOpen
Predmet:	Ambiguity Big Data Categorical data analysis Communications Engineering Comparative analysis Comparative studies Computational Science and Engineering Computer Science Consistency Data Data Mining and Knowledge Discovery Database Management Datasets Decision making Determinate Dominance Evaluation Hypothesis testing Information Storage and Retrieval Machinery Mathematical Applications in Computer Science Motivation Networks Neutrosophic logic Nominal measurement Production Simulation Statistical inference Statistical tests Statistics Tests Uncertainty Uncertainty quantification Hypothesis testing Uncertainty quantification Neutrosophic logic Statistical inference Categorical data analysis
ISSN:	2196-1115, 2196-1115
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