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                                       Details for article 15 of 19 found articles
 
 
  Power of pairwise multiple comparisons in the unequal variance case
 
 
Title: Power of pairwise multiple comparisons in the unequal variance case
Author: Hsiung, Tung-Hsing
Olejnik, Stephen
Appeared in: Communications in statistics
Paging: Volume 23 (1994) nr. 3 pages 691-710
Year: 1994
Contents: The Type I error rate and statistical power of six selected pairwise multiple comparison procedures were estimated by using simulated data in which population variances were heterogeneous. Based on a oneway Anova model, eleven different combinations of sample sizes and variance patterns were examined for a four-group design and another eleven patterns were examined for a six-group design. The results indicated that only the Games and Howell procedure occasionally failed to control the familywise Type I error rate under the nominal .05 level. In terms of statistical power, Shaffer (1979, 1986) enhancements to the Bonferroni approach provided the greatest average power per contrast and all pair power in the four group design. In the six-group design, no procedure consistently provided the greatest per-pair power or all pair power
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 15 of 19 found articles
 
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