Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/11630
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dc.contributor.authorWaterhouse, Robert W.-
dc.date.accessioned2016-06-20T14:21:15Z-
dc.date.available2016-06-20T14:21:15Z-
dc.date.issued1968-11-
dc.identifier.urihttp://hdl.handle.net/11681/11630-
dc.descriptionSpecial Report-
dc.descriptionAbstract: Accuracy and speed of property estimating of randomly dispersed populations can be improved by identifying and accounting for the influence of shape of both the element and the viewing stage. Perimeter intercept count of high density non-overlapping dispersions provides a rapid method of density evaluation, provided the influence of shape on location and orientation of elements and on the random definition of the intercepts is recognized. The efficiency of the circular stage is seen to be due to its randomizing of intercepts. Models demonstrate these influences and comparative accuracy of three systems of estimating.-
dc.publisherCold Regions Research and Engineering Laboratory (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1012221-
dc.relation.ispartofseriesSpecial report (Cold Regions Research and Engineering Laboratory (U.S.)) ; 102.-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created from scans of the Print Resource-
dc.subjectDispersion-
dc.subjectPopulation-
dc.subjectSnow-
dc.subjectSnow grains-
dc.subjectIce-
dc.subjectIce crystals-
dc.subjectStatistics-
dc.titleOn measuring dispersed populations-
dc.typeReporten_US
Appears in Collections:Special Report

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