Cochran’s Q test for analyzing categorical data under uncertainty

Cochran’s Q test for analyzing categorical data under uncertainty

Abstract 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 han...

Full description

Bibliographic Details
Main Author: Muhammad Aslam
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Journal of Big Data
Subjects:
Uncertainty quantification
Categorical data analysis
Statistical inference
Neutrosophic logic
Hypothesis testing
Online Access:https://doi.org/10.1186/s40537-023-00823-3

Internet

https://doi.org/10.1186/s40537-023-00823-3

Similar Items