Back to Search Start Over

Analysis of variance based on fuzzy observations.

Authors :
Nourbakhsh, M.
Mashinchi, M.
Parchami, A.
Source :
International Journal of Systems Science. Apr2013, Vol. 44 Issue 4, p714-726. 13p. 3 Charts, 3 Graphs.
Publication Year :
2013

Abstract

Analysis of variance (ANOVA) is an important method in exploratory and confirmatory data analysis. The simplest type of ANOVA is one-way ANOVA for comparison among means of several populations. In this article, we extend one-way ANOVA to a case where observed data are fuzzy observations rather than real numbers. Two real-data examples are given to show the performance of this method. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*STATISTICAL hypothesis testing
*ANALYSIS of variance
*REAL-time computing
*FUZZY statistics
*COMPARATIVE studies
*CONFIRMATORY factor analysis
*FUZZY numbers

Details

Language :
English
ISSN :
00207721
Volume :
44
Issue :
4
Database :
Academic Search Index
Journal :
International Journal of Systems Science
Publication Type :
Academic Journal
Accession number :
85198265
Full Text :
https://doi.org/10.1080/00207721.2011.618640
Full Text Access
View/download PDF

Tools

Authors Abstract Subjects Details