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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30897
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dc.contributor.authorConti, Pier Luigien_UK
dc.contributor.authorMarella, Danielaen_UK
dc.contributor.authorMecatti, Fulviaen_UK
dc.contributor.authorAndreis, Federicoen_UK
dc.date.accessioned2020-03-31T00:06:53Z-
dc.date.available2020-03-31T00:06:53Z-
dc.date.issued2020en_UK
dc.identifier.urihttp://hdl.handle.net/1893/30897-
dc.description.abstractIn this paper, a class of resampling techniques for finite populations under πps sampling design is introduced. The basic idea on which they rest is a two-step procedure consisting in: (i) constructing a “pseudo-population” on the basis of sample data; (ii) drawing a sample from the predicted population according to an appropriate resampling design. From a logical point of view, this approach is essentially based on the plug-in principle by Efron, at the “sampling design level”. Theoretical justifications based on large sample theory are provided. New approaches to construct pseudo populations based on various forms of calibrations are proposed. Finally, a simulation study is performed.en_UK
dc.language.isoenen_UK
dc.publisherBernoulli Society for Mathematical Statistics and Probabilityen_UK
dc.relationConti PL, Marella D, Mecatti F & Andreis F (2020) A unified principled framework for resampling based on pseudo-populations: Asymptotic theory. Bernoulli, 26 (2), pp. 1044-1069. https://doi.org/10.3150/19-bej1138en_UK
dc.rights[BEJ1138_main.pdf] Publisher allows this work to be made available in this repository. Published in Bernoulli byBernoulli Society for Mathematical Statistics and Probability with the following policy: The authors retain the right to place the final version of their article (exactly as published in the journal) on their own homepage or in a public digital repository, provided there is a link to the official journal site: https://doi.org/10.3150/19-BEJ1138en_UK
dc.rights[BEJ1138_appendix.pdf] The publisher does not allow this work to be made publicly available in this Repository. 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.en_UK
dc.subjectπps sampling designsen_UK
dc.subjectbootstrapen_UK
dc.subjectcalibrationen_UK
dc.subjectconfidence intervalsen_UK
dc.subjectfinite populationsen_UK
dc.subjectresamplingen_UK
dc.subjectvariance estimationen_UK
dc.titleA unified principled framework for resampling based on pseudo-populations: Asymptotic theoryen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[BEJ1138_appendix.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.rights.embargoreason[BEJ1138_main.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.3150/19-bej1138en_UK
dc.citation.jtitleBernoullien_UK
dc.citation.issn1350-7265en_UK
dc.citation.volume26en_UK
dc.citation.issue2en_UK
dc.citation.spage1044en_UK
dc.citation.epage1069en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailfederico.andreis@stir.ac.uken_UK
dc.citation.date31/01/2020en_UK
dc.contributor.affiliationSapienza University of Romeen_UK
dc.contributor.affiliationRoma Tre Universityen_UK
dc.contributor.affiliationUniversity of Milano Bicoccaen_UK
dc.contributor.affiliationBocconi Universityen_UK
dc.identifier.isiWOS:000510854600009en_UK
dc.identifier.scopusid2-s2.0-85082664240en_UK
dc.identifier.wtid1573188en_UK
dc.contributor.orcid0000-0002-1776-3755en_UK
dc.date.accepted2019-06-28en_UK
dcterms.dateAccepted2019-06-28en_UK
dc.date.filedepositdate2020-02-21en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorConti, Pier Luigi|en_UK
local.rioxx.authorMarella, Daniela|en_UK
local.rioxx.authorMecatti, Fulvia|en_UK
local.rioxx.authorAndreis, Federico|0000-0002-1776-3755en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2020-02-21en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2020-02-21|en_UK
local.rioxx.filenameBEJ1138_main.pdfen_UK
local.rioxx.filecount3en_UK
local.rioxx.source1350-7265en_UK
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles

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