C466. The effect of heteroscedasticity and outliers on the permutation t-test

Journal of Statistical Computation and Simulation

Volumn 72, Issue 1, 2002, Pages 23-26

  Roy, T ^a  

^a BOEHRINGER INGELHEIM PHARMACEUTICALS INC   (United States)

Author keywords

Behrens Fisher problem; Comparison of means; Heteroscedasticity; Outliers; Permutation t test

Indexed keywords

EID: 0038487900     PISSN: 00949655     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Note

References (12)

1. Barnard, G.A. (1984). Comparing the means of two independent samples. Applied Statistics, 33, 266-271.
2. Boik, R.J. (1987). The Fisher-Pitman permutation test: A non-robust alternative to the normal theory F test when variances are heterogeneous. British Journal of Mathematical and Statistical Psychology, 40, 26-42.
3. Box, G.E.P. and Cox, D.R. (1964). An analysis of transformations (with discussion). Journal of the Royal Statistical Society. Series B, 26, 211-252.
4. Fisher, R.A. (1936). The coefficient of racial likeness and the future of craniometry. Journal of the Royal Anthropological Institute, 66, 57-63.
5. Fung, K.Y. (1979). A Monte Carlo study of the Studentized Wilcoxon statistic for the Behrens-Fisher problem. Journal of Statistical Computation and Simulation, 10, 15-24.
6. Hollander, M. and Wolfe, D.A. (1973). Nonparametric Statistical Methods, Wiley, New York, pp. 70-71.
7. Manly, B.F.J. (1995). Randomization tests to compare means with unequal variation. Sankhya: The Indian Journal of Statistics Series B, 57, 200-222.
8. Pratt, J.W. (1964). Robustness of some procedures for the two-sample location problem. Journal of the American Statistical Association, 59, 665-680.
9. Sen, P.K. (1962). On Studentized non-parametric multi-sample location tests. Annals of the Institute of Statistical Mathematics, XIV, 119-131.
10. Tan, W.Y. and Tabatabai, M.A. (1985). Some robust ANOVA procedures under heteroscedasticity and nonnormality. Communications in Statistics - Simulation and Computation, 14, 1007-1026.
11. Yuen, K.K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61, 165-170.
12. Zhou, X.-H., Gao, S. and Hui, S.L. (1997). Methods for comparing the means of two independent log-normal samples. Biometrics, 53, 1129-1135.