Generalizations of some nonparametric tests for vague data are suggested. These test have many advantages: they are simple for use and they do not require specific assumptions on underlying populations which are often difficult to verify when data are vague.
CITATION STYLE
López-Díaz, M., Gil, M. Á., Grzegorzewski, P., Hryniewicz, O., & Lawry, J. (2004). Erratum to: Distribution-Free Tests for Vague Data. In Soft Methodology and Random Information Systems (pp. 761–761). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-44465-7_96
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