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dc.contributor.authorStroup, W. W.
dc.contributor.authorStubbendieck, J.
dc.date.accessioned2020-09-25T07:22:42Z
dc.date.available2020-09-25T07:22:42Z
dc.date.issued1983-03-01
dc.identifier.citationStroup, W. W., & Stubbendieck, J. (1983). Multivariate statistical methods to determine changes in botanical composition. Journal of Range Management, 36(2), 208-212.
dc.identifier.issn0022-409X
dc.identifier.doi10.2307/3898164
dc.identifier.urihttp://hdl.handle.net/10150/646056
dc.description.abstractConfusion exists over the proper statistical methodology to use in analyzing the effect of treatments on changes in botanical composition over time. A rationale for using multivariate statistics is presented. Basic considerations involved in the use and interpretation of multivariate statistics specifically appropriate to the botanical composition problem are given. An example of how such an analysis can be performed using a common statistical computing package (SAS) is demonstrated.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectvegetation
dc.titleMultivariate Statistical Methods to Determine Changes in Botanical Composition Vegetation
dc.typetext
dc.typeArticle
dc.identifier.journalJournal of Range Management
dc.description.noteThis material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries.
dc.description.collectioninformationThe Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform August 2020
dc.source.volume36
dc.source.issue2
dc.source.beginpage208-212
refterms.dateFOA2020-09-25T07:22:44Z


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