A New F-Test Applicable to Large-Scale Data
- https://doi.org/10.2991/jsta.d.191217.001How to use a DOI?
- Microarray data, Permutation test, Null statistic, F-test
In large-scale multiple testing, the permutation test based on making a null statistic has been widely employed in the literature. Because it enables us to use the null permuted samples and estimate the -value more accurately. Some test statistics, which can be modified to a null statistic, have been proposed for two independent groups. In this paper, we propose a new statistic and corresponding -test, which can be applied for three or more groups. The simulation results demonstrate that the proposed method has a smaller interquartile range (IQR) than the usual permutation method and estimates -values more accurately than its rival.
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Mohsen Salehi AU - Adel Mohammadpour AU - Kerrie Mengersen PY - 2019 DA - 2019/12 TI - A New F-Test Applicable to Large-Scale Data JO - Journal of Statistical Theory and Applications SP - 439 EP - 449 VL - 18 IS - 4 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.d.191217.001 DO - https://doi.org/10.2991/jsta.d.191217.001 ID - Salehi2019 ER -