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Simultaneous confidence intervals for pairwise multiple comparisons in a two-way unbalanced design with unequal variances
- Source :
- Journal of Statistical Computation and Simulation. 85:2727-2735
- Publication Year :
- 2014
- Publisher :
- Informa UK Limited, 2014.
-
Abstract
- In this research, we propose simultaneous confidence intervals for all pairwise multiple comparisons in a two-way unbalanced design with unequal variances, using a parametric bootstrap approach. Simulation results show that Type 1 error of the multiple comparison test is close to the nominal level even for small samples. They also show that the proposed method outperforms Tukey–Kramer procedure when variances are heteroscedastic and group sizes are unequal.
- Subjects :
- Statistics and Probability
Heteroscedasticity
Applied Mathematics
Welch's t-test
Confidence interval
Nominal level
Modeling and Simulation
Multiple comparisons problem
Statistics
Pairwise comparison
Statistics, Probability and Uncertainty
Mathematics
Parametric statistics
Type I and type II errors
Subjects
Details
- ISSN :
- 15635163 and 00949655
- Volume :
- 85
- Database :
- OpenAIRE
- Journal :
- Journal of Statistical Computation and Simulation
- Accession number :
- edsair.doi...........ee112fc2ffc18910b39da604026575a5