A method for computing the required number of instances and per-instance runs when comparing multiple algorithms, based on pairwise effect sizes, power, and Holm-corrected error rates.
Applied Soft Computing12(10), 3176–3192 (2012)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances
A method for computing the required number of instances and per-instance runs when comparing multiple algorithms, based on pairwise effect sizes, power, and Holm-corrected error rates.