Testing hypotheses with fuzzy data: The fuzzy p-value
By Peter Filzmoser, Reinhard Viertl. 2004
159 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/960faa72fd706ad9bf28fca7cf13e385e1b3a0ad
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In Artificial Intelligence
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Trends in Fuzzy Statistics (2016, unknown): “Filzmoser and Viertl (2003) present an approach for testing hypotheses at the basis of fuzzy data, by introducing the fuzzy p-value.”
- Fuzzy p-value in testing fuzzy hypotheses with crisp data (2008, background): “Note It should be mentioned that, in Denœux et al. (2005) and Filzmoser and Viertl (2004), the fuzziness of the p-value is a consequence of the fuzziness of the data, while in our definition, it is a consequence of the fuzziness of the hypotheses.”
- Testing fuzzy hypotheses using fuzzy data based on fuzzy test statistic (2011, background): “[6], Filzmoser and Viertl [9], Grzegorzewski [12], and Wu [31].”
- A generalization of the Wilcoxon signed-rank test and its applications (2013, methodology): “The study of developing Wilcoxon singed-rank test based on p-value approach (Filzmoser and Viertl 2004; Parchami et al. 2010, 2012) and the effect of fuzziness on the results of the tests and the investigation of power of the proposed tests are some potential subjects for further research.”