Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling

Detalhes bibliográficos
Autor(a) principal: Moura, Ricardo
Data de Publicação: 2017
Outros Autores: Martin, Klein, Coelho, Carlos A., Sinha, Bimal
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://www.ine.pt/revstat/pdf/rs170201.pdf
Resumo: Portuguese Foundation for Science and Technology - UID/MAT/00297/2013
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spelling Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive SamplingComparison with Plug-in Samplingfinite sample inferencemaximum likelihood estimationpivotal quantityplug-in samplingstatistical disclosure controlunbiased estimatorsPortuguese Foundation for Science and Technology - UID/MAT/00297/2013The authors derive likelihood-based exact inference methods for the multivariate regression model, for singly imputed synthetic data generated via Posterior Predictive Sampling (PPS) and for multiply imputed synthetic data generated via a newly proposed sampling method, which the authors call Fixed-Posterior Predictive Sampling (FPPS). In the single imputation case, our proposed FPPS method concurs with the usual Posterior Predictive Sampling (PPS) method, thus filling the gap in the existing literature where inferential methods are only available for multiple imputation. Simulation studies compare the results obtained with those for the exact test procedures under the Plug-in Sampling method, obtained by the same authors. Measures of privacy are discussed and compared with the measures derived for the Plug-in Sampling method. An application using U.S. 2000 Current Population Survey data is discussed.CMA - Centro de Matemática e AplicaçõesDM - Departamento de MatemáticaRUNMoura, RicardoMartin, KleinCoelho, Carlos A.Sinha, Bimal2018-03-22T23:15:14Z2017-04-012017-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article32application/pdfhttps://www.ine.pt/revstat/pdf/rs170201.pdfeng1645-6726PURE: 2585537https://www.ine.pt/revstat/pdf/rs170201.pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:18:19Zoai:run.unl.pt:10362/33071Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:00.172885Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
Comparison with Plug-in Sampling
title Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
spellingShingle Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
Moura, Ricardo
finite sample inference
maximum likelihood estimation
pivotal quantity
plug-in sampling
statistical disclosure control
unbiased estimators
title_short Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
title_full Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
title_fullStr Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
title_full_unstemmed Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
title_sort Inference for Multivariate Regression Model based on Synthetic Data generated under Fixed-Posterior Predictive Sampling
author Moura, Ricardo
author_facet Moura, Ricardo
Martin, Klein
Coelho, Carlos A.
Sinha, Bimal
author_role author
author2 Martin, Klein
Coelho, Carlos A.
Sinha, Bimal
author2_role author
author
author
dc.contributor.none.fl_str_mv CMA - Centro de Matemática e Aplicações
DM - Departamento de Matemática
RUN
dc.contributor.author.fl_str_mv Moura, Ricardo
Martin, Klein
Coelho, Carlos A.
Sinha, Bimal
dc.subject.por.fl_str_mv finite sample inference
maximum likelihood estimation
pivotal quantity
plug-in sampling
statistical disclosure control
unbiased estimators
topic finite sample inference
maximum likelihood estimation
pivotal quantity
plug-in sampling
statistical disclosure control
unbiased estimators
description Portuguese Foundation for Science and Technology - UID/MAT/00297/2013
publishDate 2017
dc.date.none.fl_str_mv 2017-04-01
2017-04-01T00:00:00Z
2018-03-22T23:15:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.ine.pt/revstat/pdf/rs170201.pdf
url https://www.ine.pt/revstat/pdf/rs170201.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1645-6726
PURE: 2585537
https://www.ine.pt/revstat/pdf/rs170201.pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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