Testing Repeated Measures Hypotheses when Covariance Matrices are Heterogeneous: Revisiting the Robustness of the Welch-James Test
Author:
Publisher
Informa UK Limited
Subject
Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,General Medicine,Statistics and Probability
Link
http://www.tandfonline.com/doi/pdf/10.1207/s15327906mbr3203_2
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs;Methodology;2017-01
2. Likelihood Ratio Type Statistics for Repeated Measures Designs with Heterogeneous Covariance Matrices;Communications in Statistics - Theory and Methods;2013-03-15
3. The Case for Use of Simple Difference Scores to Test the Significance of Differences in Mean Rates of Change in Controlled Repeated Measurements Designs;Multivariate Behavioral Research;2010-09-30
4. A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes.;Psychological Methods;2008
5. Type I Error Rates of the Kenward-Roger Adjusted Degree of Freedom F-test for a Split-Plot Design with Missing Values;Journal of Modern Applied Statistical Methods;2007-05-01
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