A Monte Carlo study of nonparametric multiple-comparison tests for a two-way layout
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Chemistry,Catalysis
Link
http://link.springer.com/content/pdf/10.3758/BF03329410.pdf
Reference16 articles.
1. Bernhardson, C. S. Type I error rates when multiple comparison procedures follow a significant F test of ANOVA. Biometrics, 1975, 31, 229–232.
2. Carmer, S. G., & Swanson, M. R. An evaluation of ten pair- wise multiple comparison procedures by Monte Carlo methods. Journal of the American Statistical Association, 1973, 68, 66–74.
3. Dorsum, K. Robust procedures for some linear models with one observation per cell. Annals of Mathematical Statistics, 1967, 38, 878–883.
4. Friedman, M. The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 1937, 32, 675–701.
5. Hays, W. L. Statistics for psychologists. New York: Holt, Rinehart, & Winston, 1963.
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