A Comprehensive Monte Carlo Simulation Study on Multiple Comparison Methods after ANOVA
Multiple comparison methods are applied to control the type I error rate at the nominal level. In this study, we investigate the performance of multiple comparison methods after analysis of variance (ANOVA) is implemented under different conditions. We include Bonferroni, Holm, Hochberg, Hommel, Ben...
Saved in:
Main Authors: | Hanife Avcı, Osman Dağ |
---|---|
Format: | Article |
Language: | English |
Published: |
Çanakkale Onsekiz Mart University
2024-09-01
|
Series: | Journal of Advanced Research in Natural and Applied Sciences |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/3697600 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Melanin Concentration on Reflective Pulse Oximetry Using Monte Carlo Simulations
by: Maximilian Reiser, et al.
Published: (2025-01-01) -
Grand Canonical Monte Carlo simulations of the Hydrogen and Methane storage capacities of a novel Co-MOF
by: A. Granja-DelRío, et al.
Published: (2025-01-01) -
Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models
by: F M Bayo-Muñoz, et al.
Published: (2025-01-01) -
Pharmacokinetic/pharmacodynamic analysis of tedizolid phosphate against Staphylococcus aureus and Streptococcus pneumoniae in children, adolescents, and adults by Monte Carlo simulation
by: Xiao-Chen Wei, et al.
Published: (2025-01-01) -
Model Evaluation and Uncertainty Analysis of PM2.5 Components over Pearl River Delta Region Using Monte Carlo Simulations
by: Qian Wu, et al.
Published: (2020-07-01)