author_facet Han, Yu
Han, Yu
author Han, Yu
spellingShingle Han, Yu
Applied Mechanics and Materials
Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
General Engineering
author_sort han, yu
spelling Han, Yu 1662-7482 Trans Tech Publications, Ltd. General Engineering http://dx.doi.org/10.4028/www.scientific.net/amm.680.455 <jats:p>The frequency that extreme events appear in the life is low,but once it appears,the impact will be significant; many scholars have conducted in depth research and found that statistical theory of extreme value. The theory of extreme statistics plays a more and more important role in many fields such as automatic control, assembly line etc. This paper,makes an in-depth research towards the characteristics and parameter estimation of the extreme value statistical models,as well as the application,mainly analyzes the Bayes parameter estimation method of extreme value distribution,the extreme value distribution theory and Copula function random vector model.</jats:p> Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control Applied Mechanics and Materials
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title Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_unstemmed Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_full Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_fullStr Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_full_unstemmed Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_short Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_sort semi-parametric statistical model for extreme value statistical models and application in automatic control
topic General Engineering
url http://dx.doi.org/10.4028/www.scientific.net/amm.680.455
publishDate 2014
physical 455-458
description <jats:p>The frequency that extreme events appear in the life is low,but once it appears,the impact will be significant; many scholars have conducted in depth research and found that statistical theory of extreme value. The theory of extreme statistics plays a more and more important role in many fields such as automatic control, assembly line etc. This paper,makes an in-depth research towards the characteristics and parameter estimation of the extreme value statistical models,as well as the application,mainly analyzes the Bayes parameter estimation method of extreme value distribution,the extreme value distribution theory and Copula function random vector model.</jats:p>
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container_start_page 455
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description <jats:p>The frequency that extreme events appear in the life is low,but once it appears,the impact will be significant; many scholars have conducted in depth research and found that statistical theory of extreme value. The theory of extreme statistics plays a more and more important role in many fields such as automatic control, assembly line etc. This paper,makes an in-depth research towards the characteristics and parameter estimation of the extreme value statistical models,as well as the application,mainly analyzes the Bayes parameter estimation method of extreme value distribution,the extreme value distribution theory and Copula function random vector model.</jats:p>
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spelling Han, Yu 1662-7482 Trans Tech Publications, Ltd. General Engineering http://dx.doi.org/10.4028/www.scientific.net/amm.680.455 <jats:p>The frequency that extreme events appear in the life is low,but once it appears,the impact will be significant; many scholars have conducted in depth research and found that statistical theory of extreme value. The theory of extreme statistics plays a more and more important role in many fields such as automatic control, assembly line etc. This paper,makes an in-depth research towards the characteristics and parameter estimation of the extreme value statistical models,as well as the application,mainly analyzes the Bayes parameter estimation method of extreme value distribution,the extreme value distribution theory and Copula function random vector model.</jats:p> Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control Applied Mechanics and Materials
spellingShingle Han, Yu, Applied Mechanics and Materials, Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control, General Engineering
title Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_full Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_fullStr Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_full_unstemmed Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_short Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
title_sort semi-parametric statistical model for extreme value statistical models and application in automatic control
title_unstemmed Semi-Parametric Statistical Model for Extreme Value Statistical Models and Application in Automatic Control
topic General Engineering
url http://dx.doi.org/10.4028/www.scientific.net/amm.680.455