Bayesian inference from measurement information

Detalhes bibliográficos
Autor(a) principal: Lira, I.
Data de Publicação: 1999
Outros Autores: Kyriazis, Gregory Amaral
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INMETRO
Texto Completo: http://hdl.handle.net/10926/1205
Resumo: Bayesian inference about a quantity is made through the probability density function that describes the state of incomplete knowledge acquired from measurement. This approach can be applied advantageously to evaluate the data obtained from repeated measurements of a quantity, with or without added information on the variances or error bounds of the indicated values. Results are compared with those obtained using conventional statistical theory. It is concluded that Bayesian inference allows a flexible and natural characterization of the measurement uncertainty.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBayesian inference from measurement information19992011-09-01T16:47:55Z2011-09-01T16:47:55ZBayesian inference about a quantity is made through the probability density function that describes the state of incomplete knowledge acquired from measurement. This approach can be applied advantageously to evaluate the data obtained from repeated measurements of a quantity, with or without added information on the variances or error bounds of the indicated values. Results are compared with those obtained using conventional statistical theory. It is concluded that Bayesian inference allows a flexible and natural characterization of the measurement uncertainty.8 p. : il.Submitted by Bruna Fernandes de Farias (bruna.fernandes_farias@yahoo.com.br) on 2011-08-31T13:47:38Z No. of bitstreams: 1 1999_Gregory.pdf: 110247 bytes, checksum: 44704602904571307cc22e645b6ab846 (MD5)Approved for entry into archive by Catarina Soares(cfsoares@inmetro.gov.br) on 2011-09-01T16:47:55Z (GMT) No. of bitstreams: 1 1999_Gregory.pdf: 110247 bytes, checksum: 44704602904571307cc22e645b6ab846 (MD5)Made available in DSpace on 2011-09-01T16:47:55Z (GMT). No. of bitstreams: 1 1999_Gregory.pdf: 110247 bytes, checksum: 44704602904571307cc22e645b6ab846 (MD5) Previous issue date: 1999enghttp://hdl.handle.net/10926/1205DMD_hdl_10926/1205LIRA, I.; KYRIAZIS, G. Bayesian inference from measurement information. Metrologia, v. 36, p. 163-169, 1999.Lira, I.Kyriazis, Gregory Amaralinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do INMETROinstname:Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMETRO)instacron:INMETROLira_1999.pdfhttp://xrepo01s.inmetro.gov.br/bitstream/10926/1205/1/Lira_1999.pdfapplication/pdf110247http://xrepo01s.inmetro.gov.br/bitstream/10926/1205/1/Lira_1999.pdf44704602904571307cc22e645b6ab846MD510926_1205_1Lira_1999.pdf.txthttp://xrepo01s.inmetro.gov.br/bitstream/10926/1205/6/Lira_1999.pdf.txttext/plain31121http://xrepo01s.inmetro.gov.br/bitstream/10926/1205/6/Lira_1999.pdf.txtd8c5b57135b337b82f414781d7b4a94bMD510926_1205_62024-06-10T15:24:39Zoai:xrepo01s.inmetro.gov.br:10926/1205Repositório de Publicaçõeshttp://repositorios.inmetro.gov.br/oai/requestopendoar:2012-10-26T17:09:48Repositório Institucional do INMETRO - Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMETRO)false
dc.title.none.fl_str_mv Bayesian inference from measurement information
title Bayesian inference from measurement information
spellingShingle Bayesian inference from measurement information
Lira, I.
title_short Bayesian inference from measurement information
title_full Bayesian inference from measurement information
title_fullStr Bayesian inference from measurement information
title_full_unstemmed Bayesian inference from measurement information
title_sort Bayesian inference from measurement information
author Lira, I.
author_facet Lira, I.
Kyriazis, Gregory Amaral
author_role author
author2 Kyriazis, Gregory Amaral
author2_role author
dc.contributor.author.fl_str_mv Lira, I.
Kyriazis, Gregory Amaral
description Bayesian inference about a quantity is made through the probability density function that describes the state of incomplete knowledge acquired from measurement. This approach can be applied advantageously to evaluate the data obtained from repeated measurements of a quantity, with or without added information on the variances or error bounds of the indicated values. Results are compared with those obtained using conventional statistical theory. It is concluded that Bayesian inference allows a flexible and natural characterization of the measurement uncertainty.
publishDate 1999
dc.date.issued.fl_str_mv 1999
dc.date.available.fl_str_mv 2011-09-01T16:47:55Z
dc.date.accessioned.fl_str_mv 2011-09-01T16:47:55Z
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 http://hdl.handle.net/10926/1205
DMD_hdl_10926/1205
dc.identifier.citation.fl_str_mv LIRA, I.; KYRIAZIS, G. Bayesian inference from measurement information. Metrologia, v. 36, p. 163-169, 1999.
url http://hdl.handle.net/10926/1205
identifier_str_mv DMD_hdl_10926/1205
LIRA, I.; KYRIAZIS, G. Bayesian inference from measurement information. Metrologia, v. 36, p. 163-169, 1999.
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.bitstream.fl_str_mv application/pdf
text/plain
dc.source.none.fl_str_mv reponame:Repositório Institucional do INMETRO
instname:Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMETRO)
instacron:INMETRO
instname_str Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMETRO)
instacron_str INMETRO
institution INMETRO
reponame_str Repositório Institucional do INMETRO
collection Repositório Institucional do INMETRO
repository.name.fl_str_mv Repositório Institucional do INMETRO - Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMETRO)
repository.mail.fl_str_mv
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