Determination of prediction intervals for a future number of failures: a statistical and Monte Carlo approach
Autor(a) principal: | |
---|---|
Data de Publicação: | 2006 |
Outros Autores: | , |
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 |