Title | ||
---|---|---|
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers. |
Abstract | ||
---|---|---|
We provide a computationally fast method to determine the exact p-value of the absolute rank sum difference of a pair of Friedman rank sums, making asymptotic tests obsolete. Calculation of exact p-values is easy to implement in statistical software and the implementation in R is provided in one of the Additional files and is also available at http://www.ru.nl/publish/pages/726696/friedmanrsd.zip . |
Year | DOI | Venue |
---|---|---|
2017 | 10.1186/s12859-017-1486-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Classifier comparison,Exact p-value,Friedman test,Machine learning,Multiple comparison,Nonparametric statistics,Rank sum difference | Friedman test,Applied mathematics,Pairwise comparison,Computer science,Null hypothesis,Algorithm,Multiple comparisons problem,Nonparametric statistics,Exact statistics,Exact distribution,Genetics | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
3 | 0.37 | 20 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rob Eisinga | 1 | 17 | 1.81 |
Tom Heskes | 2 | 1519 | 198.44 |
Ben Pelzer | 3 | 30 | 2.68 |
Manfred Te Grotenhuis | 4 | 3 | 0.37 |