Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry

Bibliographic Details
Main Author: Little, John
Published: Durham University 2003
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396647
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spelling ndltd-bl.uk-oai-ethos.bl.uk-3966472016-11-18T03:22:00ZBayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industryLittle, John2003519.542Durham Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396647http://etheses.dur.ac.uk/1252/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 519.542
spellingShingle 519.542
Little, John
Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry
author Little, John
author_facet Little, John
author_sort Little, John
title Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry
title_short Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry
title_full Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry
title_fullStr Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry
title_full_unstemmed Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry
title_sort bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry
publisher Durham University
publishDate 2003
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396647
work_keys_str_mv AT littlejohn bayesianspatiotemporalmodellingforinspectionandpredictionofcomplexproblemsinthepetrochemicalindustry
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