A review and some new results on permutation testing for multivariate problems-Reference-Cited by-同舟云学术

A review and some new results on permutation testing for multivariate problems

Published:2011-06-07 Issue:2 Volume:22 Page:639-646
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Pesarin Fortunato,Salmaso Luigi

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11222-011-9261-0.pdf

Reference31 articles.

1. Abd-Elfattah, E.F., Butler, R.W.: The weighted log-rank class of permutation tests: P-values and confidence intervals using saddlepoint methods. Biometrika 94, 543–551 (2007)

2. Lecture Notes in Statistics;D. Basso,2009

3. Basso, D., Pesarin, F.: Exact permutation testing for two-sample survival functions. Technical Report N. 13, Department of Management and Engineering, University of Padua (2011, submitted)

4. Bertoluzzo, F., Pesarin, F., Salmaso, L.: On multi-sided permutation tests. J. Stat. Plan. Inference (2011, forthcoming)

5. Birnbaum, A.: Combining independent tests of significance. J. Am. Stat. Assoc. 49, 559–574 (1954)

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comparison of nonparametric methods for multivariate two-sample tests;Communications in Statistics - Simulation and Computation;2024-04-12

2. Machine Learning Metrics for Network Datasets Evaluation;IFIP Advances in Information and Communication Technology;2024

3. The principle and state-of-art applications of permutation tests;Highlights in Science, Engineering and Technology;2023-07-30

4. A Monte Carlo permutation procedure for testing variance components using robust estimation methods;Statistical Papers;2023-02-03

5. Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA;Communications in Computer and Information Science;2023