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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27563
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dc.contributor.authorAndreis, Federicoen_UK
dc.contributor.authorBonetti, Marcoen_UK
dc.date.accessioned2018-07-26T00:02:31Z-
dc.date.available2018-07-26T00:02:31Z-
dc.date.issued2018-03-01en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27563-
dc.description.abstractWe introduce a novel method to extract a sample from a finite population where units with desired characteristics are over-represented. The approach is both sequential and adaptive and allows, via suitable compositions of predictive and objective functions, to target specific subsets of the population. We consider the problem of estimation and conjecture the validity of a modified Horvitz–Thompson estimator capable to account for the imbalance induced by the targeting procedure. After discussing how to apply the method to the sampling of geographically distributed units, we investigate its potential via simulations.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Natureen_UK
dc.relationAndreis F & Bonetti M (2018) A proposal for a two-step sampling design to oversample units responding to prescribed characteristics. Environmental and Ecological Statistics, 25 (1), pp. 139-154. https://doi.org/10.1007/s10651-017-0396-9en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is a post-peer-review, pre-copyedit version of an article published in Environmental and Ecological Statistics. The final authenticated version is available online at: https://doi.org/10.1007/s10651-017-0396-9en_UK
dc.subjectpi-ps designsen_UK
dc.subjectAdaptive samplingen_UK
dc.subjectHot deck imputationen_UK
dc.subjectOversamplingen_UK
dc.subjectSequential methodsen_UK
dc.subjectSpatial samplingen_UK
dc.titleA proposal for a two-step sampling design to oversample units responding to prescribed characteristicsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[AndreisBonetti_EEST_revised.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1007/s10651-017-0396-9en_UK
dc.citation.jtitleEnvironmental and Ecological Statisticsen_UK
dc.citation.issn1573-3009en_UK
dc.citation.issn1352-8505en_UK
dc.citation.volume25en_UK
dc.citation.issue1en_UK
dc.citation.spage139en_UK
dc.citation.epage154en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailfederico.andreis@stir.ac.uken_UK
dc.description.notesOnline publication date: 19 Jan 2018en_UK
dc.contributor.affiliationBocconi Universityen_UK
dc.contributor.affiliationBocconi Universityen_UK
dc.identifier.wtid906064en_UK
dc.contributor.orcid0000-0002-1776-3755en_UK
dc.date.accepted2017-12-20en_UK
dcterms.dateAccepted2017-12-20en_UK
dc.date.filedepositdate2018-07-24en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorAndreis, Federico|0000-0002-1776-3755en_UK
local.rioxx.authorBonetti, Marco|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2019-03-02en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2019-03-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2019-03-02|en_UK
local.rioxx.filenameAndreisBonetti_EEST_revised.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1573-3009en_UK
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