Wilcoxon Rank Sum Test
10 ビュー (過去 30 日間)
古いコメントを表示
I have minimum, average and maximum values of an minimisation objective obtained by two different algorithms. Now to test the robustness of those algorithms how to run Wilcoxon Rank Sum Test?
2 件のコメント
Adam Danz
2019 年 9 月 30 日
What David Hill said...
Here's a list of non-parametric ttests
For an independent sample ttest **with equal variances**,
- Mann-Whitney U-Test (in matlab: ranksum(x,y))
For an independent sample ttest **with unequal variances**
- Kolmogorov-smirnov test (in matlab: kstest2(x,y) for 2-sample and ktest(x) for 1 sample
For a paired ttest
- Wilcoxon Signed-Rank test (in matlab: ranksum(x,y))
回答 (0 件)
参考
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!