The sign test for interval-valued data. (English) Zbl 1373.62220
Ferraro, Maria Brigida (ed.) et al., Soft methods for data science. Selected papers based on the presentations at the 8th international conference on soft methods in probability and statistics, SMPS 2016, Rome, Italy, September 12–14, 2016. Cham: Springer (ISBN 978-3-319-42971-7/pbk; 978-3-319-42972-4/ebook). Advances in Intelligent Systems and Computing 456, 269-276 (2017).
Summary: Two versions of the generalized sign test for interval-valued data are proposed. Each version correspond to a different view on the interval outcomes of the experiment – either the epistemic or the ontic one. As it is shown, each view yield different approaches to data analysis and statistical inference.
For the entire collection see [Zbl 1355.62005].
For the entire collection see [Zbl 1355.62005].
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