Non-restricted Winter 2026 convocation theses and dissertations will be discoverable in ERA on March 16. Congratulations to all our graduates!

Euclidean distance matrix analysis of landmarks data: estimation of variance

dc.contributor.authorHu, Liangyuan
dc.date.accessioned2025-05-29T12:26:27Z
dc.date.available2025-05-29T12:26:27Z
dc.date.issued2007
dc.identifier.doihttps://doi.org/10.7939/r3-q82e-r381
dc.language.isoen
dc.rightsThis thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
dc.subjectAnalysis of variance.
dc.titleEuclidean distance matrix analysis of landmarks data: estimation of variance
dc.typehttp://purl.org/coar/resource_type/c_46ec
thesis.degree.grantorhttp://id.loc.gov/authorities/names/n79058482
thesis.degree.levelMaster's
thesis.degree.nameMaster of Science in Statistics
ual.date.graduation2007
ual.departmentDepartment of Mathematical and Statistical Sciences
ual.jupiterAccesshttp://terms.library.ualberta.ca/public

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
MR29968.pdf
Size:
948.62 KB
Format:
Adobe Portable Document Format