Library

eCommons

 

Canonical Correspondence Analysis as an Approximation of Gaussian Ordination

Simple item page
dc.contributor.authorJohnson, Kimberly Welshen_US
dc.contributor.authorAltman, Naomien_US
dc.contributor.authorCornell University. Biometrics Unit.en_US
dc.contributor.authorCornell University. Dept. of Biometrics.en_US
dc.contributor.authorCornell University. Dept. of Biological Statistics and Computational Biology.en_US
dc.date2013
dc.date.accessioned2013-03-19T15:04:26Z
dc.date.available2013-03-19T15:04:26Z
dc.descriptionThis issue was undated.en_US
dc.description21 pages, 1 articleen_US
dc.description*Canonical Correspondence Analysis as an Approximation of Gaussian Ordination* (Johnson, Kimberly Welsh; Altman, Naomi) 21 pagesen_US
dc.identifier.other7851413_6737_001en_US
dc.identifier.other7851413en_US
dc.identifier.urihttps://hdl.handle.net/1813/31946
dc.language.isoen_USen_US
dc.relation.ispartofseriesBiometrics Unit Technical Reports; Number BU-1349-MAen_US
dc.subjectStatisticsen_US
dc.subjectPeriodicalsen_US
dc.subjectBiomathematicsen_US
dc.subjectBiometryen_US
dc.titleCanonical Correspondence Analysis as an Approximation of Gaussian Ordinationen_US
dc.typeperiodicalen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BU-1349-MA.pdf
Size:
1.36 MB
Format:
Adobe Portable Document Format
Download

Collections

Biometrics Unit Technical Reports