Bias correction and bootstrap methods for a spatial sampling scheme

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dc.contributor.authorHall, Peter
dc.contributor.authorMelville, G.
dc.contributor.authorWelsh, Alan
dc.date.accessioned2015-12-10T23:20:32Z
dc.date.available2015-12-10T23:20:32Z
dc.date.issued2001
dc.date.updated2015-12-10T10:25:04Z
dc.description.abstractMotivated by sampling problems in forestry and related fields, we suggest a spatial sampling scheme for estimating the intensity of a point process. The technique is related to the 'wandering quarter' method. In applications where the cost of identifying
dc.identifier.issn1350-7265
dc.identifier.urihttp://hdl.handle.net/1885/66373
dc.publisherChapman & Hall
dc.sourceBernoulli
dc.subjectBoundary effect
dc.subjectConfidence interval
dc.subjectEdge effect
dc.subjectForestry
dc.subjectIntensity estimation
dc.subjectPivotal statistic
dc.subjectPoisson process
dc.subjectT-square sampling
dc.subjectWandering quarter sampling
dc.titleBias correction and bootstrap methods for a spatial sampling scheme
dc.typeJournal article
local.bibliographicCitation.lastpage846
local.bibliographicCitation.startpage829
local.contributor.affiliationHall, Peter, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationMelville, G, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationWelsh, Alan, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidHall, Peter, u7801145
local.contributor.authoruidMelville, G, u3732207
local.contributor.authoruidWelsh, Alan, u8204947
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationMigratedxPub1272
local.identifier.citationvolume7
local.identifier.scopusID2-s2.0-33750037629
local.type.statusMetadata only

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