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dc.contributor.authorKiernan, Dianeen_US
dc.date.accessioned2016-09-07T15:27:06Z
dc.date.available2016-09-07T15:27:06Z
dc.date.issued2014-01-16
dc.identifier.isbn978-1-942341-17-8
dc.identifier.urihttp://textbooks.opensuny.org/natural-resources-biometrics/
dc.identifier.urihttp://hdl.handle.net/1951/68220
dc.description.abstractNatural Resources Biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity.en_US
dc.description.sponsorshipState University of New York (SUNY), Innovative Instructional Technology Grants (IITG)en_US
dc.language.isoen_USen_US
dc.publisherOpen SUNY Textbooks at the State University of New York College at Geneseoen_US
dc.rightsCreative Commonsen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subjectSUNYen_US
dc.subjectState University of New Yorken_us
dc.subjectInnovative Instructional Technology Grantsen_US
dc.subjectbiometricsen_US
dc.subjectnatural resourcesen_US
dc.subjectmodel fittingen_US
dc.subjectresidual analysisen_us
dc.titleNatural Resources Biometricsen_US
dc.typeOnline Courseen_US
dcterms.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.en_US


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