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dc.contributor.authorReich, R. M.
dc.contributor.authorBonham, C. D.
dc.contributor.authorRemington, K. K.
dc.date.accessioned2020-09-23T20:20:08Z
dc.date.available2020-09-23T20:20:08Z
dc.date.issued1993-01-01
dc.identifier.citationReich, R. M., Bonham, C. D., & Remington, K. K. (1993). Technical notes: Double sampling revisited. Journal of Range Management 46(1), 88-90.
dc.identifier.issn0022-409X
dc.identifier.doi10.2307/4002453
dc.identifier.urihttp://hdl.handle.net/10150/644643
dc.description.abstractThe decision to use double sampling with a regression or ratio estimator is not a simple task. This study was conducted to determine whether a ratio or regression estimator should be used to estimate aboveground biomass of stands dominated by blue grama (Bouteloua gracilis (H.B.K.) Lag ex Steud.) in eastern Colorado. One hundred 0.25-m-1 circular plots were systematically located in a homogeneous stand of blue grama, and on each plot biomass was estimated visually and then clipped. Three methods (classical, jackknife, and bootstrap) of estimating the variance for double sampling with regression and ratio estimator were compared in a simulation study using sample sizes 10, 20, 30, 40, and 50 clipped plots. The ratio estimator consistently had smaller bias and should be used for estimating average clipped weight of blue grama. For n = 10 clipped plots, the jackknife variance estimator is recommended for constructing confidence intervals. For n greater than or equal to 20 clipped plots, the classical variance estimate should be used to obtain reliable estimates of the population variance and in estimating confidence intervals.
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.subjectMonte Carlo method
dc.subjectbootstrap variance estimates
dc.subjectjackknife variance estimates
dc.subjectvariance
dc.subjectregression analysis
dc.subjectestimation
dc.subjectvegetation
dc.subjectsampling
dc.subjectBouteloua gracilis
dc.subjectbiomass
dc.titleTechnical Notes: Double sampling revisited
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.volume46
dc.source.issue1
dc.source.beginpage88-90
refterms.dateFOA2020-09-23T20:20:08Z


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