Neutrosophic analysis of variance: application to university students

The existing analysis of variance (ANOVA) test cannot be applied when the sample is selected from the population having come imprecise, fuzzy and uncertain observations. The neutrosophic statistics will be applied to analyze the data having uncertain observations or the parameters. In this paper, we...

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Veröffentlicht in:Complex & intelligent systems Jg. 5; H. 4; S. 403 - 407
1. Verfasser: Aslam, Muhammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.12.2019
Springer Nature B.V
Schlagworte:
Complexity
Computational Intelligence
Data Structures and Information Theory
Engineering
Original Article
Parameter uncertainty
Students
Teaching methods
Test procedures
University students
Variance analysis
Classical statistics
Uncertainty
Neutrosophic statistics
ANOVA
NANONA
ISSN:2199-4536, 2198-6053
Online-Zugang:Volltext
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Zusammenfassung:The existing analysis of variance (ANOVA) test cannot be applied when the sample is selected from the population having come imprecise, fuzzy and uncertain observations. The neutrosophic statistics will be applied to analyze the data having uncertain observations or the parameters. In this paper, we will introduce the neutrosophic analysis of variance (NANONA). The NANONA is an extension of the classical ANOVA. We presented the NANONA table. We performed the NANONA to test teaching methods using data collected from the university students.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2199-4536
2198-6053
DOI:10.1007/s40747-019-0107-2