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ANOVA for Fuzzy Random Variables Using the R-package SAFD

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Book cover Combining Soft Computing and Statistical Methods in Data Analysis

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 77))

Abstract

Due to the important role as central summary measure of a fuzzy random variable (FRV), statistical inference procedures about the mean of FRVs have been developed during the last years. The R package SAFD (Statistical Analysis of Fuzzy Data) provides basic tools for elementary statistics with one dimensional Fuzzy Data (in the form of polygonal fuzzy numbers). In particular, the package contains functions for doing a bootstrap test for the equality of means of two or more FRVs. The corresponding algorithm will be described and applied to both real-life and simulated data.

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Lubiano, M.A., Trutschnig, W. (2010). ANOVA for Fuzzy Random Variables Using the R-package SAFD. In: Borgelt, C., et al. Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14746-3_56

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  • DOI: https://doi.org/10.1007/978-3-642-14746-3_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14745-6

  • Online ISBN: 978-3-642-14746-3

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