YorkSpace has migrated to a new version of its software. Access our Help Resources to learn how to use the refreshed site. Contact diginit@yorku.ca if you have any questions about the migration.
 

The effects of heteroscedasticity on tests of equivalence

dc.contributor.authorGruman, Jamie A.
dc.contributor.authorCribbie, Robert
dc.contributor.authorArpin-Cribbie, Chantal A.
dc.date.accessioned2018-06-05T17:59:11Z
dc.date.available2018-06-05T17:59:11Z
dc.date.issued2007
dc.description.abstractTests of equivalence, which are designed to assess the similarity of group means, are becoming more popular, yet very little is known about the statistical properties of these tests. Monte Carlo methods are used to compare the test of equivalence proposed by Schuirmann with modified tests of equivalence that incorporate a heteroscedastic error term. It was found that the latter were more accurate than the Schuirmann test in detecting equivalence when sample sizes and variances were unequal.en_US
dc.description.sponsorshipSocial Sciences and Humanities Research Council
dc.identifier.urihttps://doi.org/10.22237/jmasm/1177992720en_US
dc.identifier.urihttp://hdl.handle.net/10315/34626
dc.language.isoenen_US
dc.publisherWayne State University Library Systemen_US
dc.rights.articlehttps://digitalcommons.wayne.edu/jmasm/vol6/iss1/13/
dc.subjectNull hypothesis testingen_US
dc.subjectheteroscedasticityen_US
dc.subjecttests of equivalenceen_US
dc.titleThe effects of heteroscedasticity on tests of equivalence
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
heteroscedastic_equivalence_test_gruman_cribbie_arpin_jmasm.pdf
Size:
423.12 KB
Format:
Adobe Portable Document Format
Description:
Main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.83 KB
Format:
Item-specific license agreed upon to submission
Description: