Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach

Detalhes bibliográficos
Autor(a) principal: Menezes,Fortunato S. de
Data de Publicação: 2006
Outros Autores: Vivanco,Mário J. Ferrua, Sampaio,Luiz C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Physics
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332006000500021
Resumo: In this work, we present a new procedure, called sub-sampling, to obtain data concerning time of failure in trials without replacement, (NRT). With this data it is possible to determine the prediction interval (PI) for the future number of failures. We also present an alternative way to evaluate the coverage probability of the prediction interval (PI). The results presented show that the method proposed is reliable and can be useful for the statistical analyses of quality control of processes.
id SBF-2_37e20b9f8692edc67fca1921abf026d2
oai_identifier_str oai:scielo:S0103-97332006000500021
network_acronym_str SBF-2
network_name_str Brazilian Journal of Physics
repository_id_str
spelling Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approachSub-samplingWeibull DistributionPrediction IntervalsCoverage ProbabilityMonte Carlo SimulationIn this work, we present a new procedure, called sub-sampling, to obtain data concerning time of failure in trials without replacement, (NRT). With this data it is possible to determine the prediction interval (PI) for the future number of failures. We also present an alternative way to evaluate the coverage probability of the prediction interval (PI). The results presented show that the method proposed is reliable and can be useful for the statistical analyses of quality control of processes.Sociedade Brasileira de Física2006-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332006000500021Brazilian Journal of Physics v.36 n.3a 2006reponame:Brazilian Journal of Physicsinstname:Sociedade Brasileira de Física (SBF)instacron:SBF10.1590/S0103-97332006000500021info:eu-repo/semantics/openAccessMenezes,Fortunato S. deVivanco,Mário J. FerruaSampaio,Luiz C.eng2006-10-23T00:00:00Zoai:scielo:S0103-97332006000500021Revistahttp://www.sbfisica.org.br/v1/home/index.php/pt/ONGhttps://old.scielo.br/oai/scielo-oai.phpsbfisica@sbfisica.org.br||sbfisica@sbfisica.org.br1678-44480103-9733opendoar:2006-10-23T00:00Brazilian Journal of Physics - Sociedade Brasileira de Física (SBF)false
dc.title.none.fl_str_mv Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
title Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
spellingShingle Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
Menezes,Fortunato S. de
Sub-sampling
Weibull Distribution
Prediction Intervals
Coverage Probability
Monte Carlo Simulation
title_short Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
title_full Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
title_fullStr Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
title_full_unstemmed Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
title_sort Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
author Menezes,Fortunato S. de
author_facet Menezes,Fortunato S. de
Vivanco,Mário J. Ferrua
Sampaio,Luiz C.
author_role author
author2 Vivanco,Mário J. Ferrua
Sampaio,Luiz C.
author2_role author
author
dc.contributor.author.fl_str_mv Menezes,Fortunato S. de
Vivanco,Mário J. Ferrua
Sampaio,Luiz C.
dc.subject.por.fl_str_mv Sub-sampling
Weibull Distribution
Prediction Intervals
Coverage Probability
Monte Carlo Simulation
topic Sub-sampling
Weibull Distribution
Prediction Intervals
Coverage Probability
Monte Carlo Simulation
description In this work, we present a new procedure, called sub-sampling, to obtain data concerning time of failure in trials without replacement, (NRT). With this data it is possible to determine the prediction interval (PI) for the future number of failures. We also present an alternative way to evaluate the coverage probability of the prediction interval (PI). The results presented show that the method proposed is reliable and can be useful for the statistical analyses of quality control of processes.
publishDate 2006
dc.date.none.fl_str_mv 2006-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332006000500021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332006000500021
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-97332006000500021
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Física
publisher.none.fl_str_mv Sociedade Brasileira de Física
dc.source.none.fl_str_mv Brazilian Journal of Physics v.36 n.3a 2006
reponame:Brazilian Journal of Physics
instname:Sociedade Brasileira de Física (SBF)
instacron:SBF
instname_str Sociedade Brasileira de Física (SBF)
instacron_str SBF
institution SBF
reponame_str Brazilian Journal of Physics
collection Brazilian Journal of Physics
repository.name.fl_str_mv Brazilian Journal of Physics - Sociedade Brasileira de Física (SBF)
repository.mail.fl_str_mv sbfisica@sbfisica.org.br||sbfisica@sbfisica.org.br
_version_ 1754734863052701696