Analysis of variance based on fuzzy observations |
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| Authors: | M Nourbakhsh A Parchami |
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| Affiliation: | 1. Department of Statistics , Vali-e-Asr University of Rafsanjan , Iran;2. Department of Statistics, Faculty of Mathematics and Computer Sciences , Shahid Bahonar University of Kerman , Kerman , Iran |
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| 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. |
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| Keywords: | fuzzy statistics fuzzy numbers analysis of variance testing hypothesis |
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