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                                       Details for article 17 of 18 found articles
 
 
  The effect of unequal variances on the power of several two-sample tests
 
 
Title: The effect of unequal variances on the power of several two-sample tests
Author: o'gorman, Thomas W.
Appeared in: Communications in statistics
Paging: Volume 24 (1995) nr. 4 pages 853-867
Year: 1995
Contents: In consulting situations it is often difficult to select the most appropriate two-sample test for a particular situation. The objective of this research was to determine which two-sample test procedures were the most powerful when there were small differences in variability between the populations. A variety of skewed and symmetric distributions with unequal and equal variances were used in a Monte Carlo study to estimate the size and power of these tests. The tests maintained their size for the parameters used in this simulation. Those tests that were sensitive to location and scale shift alternatives were more powerful than the t-test and rank-sum test when there were small differences in variability between the groups
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 17 of 18 found articles
 
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