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Statistical modeling for degradation data

This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliab...

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Detalles Bibliográficos
Autores principales: Chen, Ding-Geng, Lio, Yuhlong, Ng, Hon, Tsai, Tzong-Ru
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-10-5194-4
http://cds.cern.ch/record/2282102
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author Chen, Ding-Geng
Lio, Yuhlong
Ng, Hon
Tsai, Tzong-Ru
author_facet Chen, Ding-Geng
Lio, Yuhlong
Ng, Hon
Tsai, Tzong-Ru
author_sort Chen, Ding-Geng
collection CERN
description This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling cern-22821022021-04-21T19:05:03Zdoi:10.1007/978-981-10-5194-4http://cds.cern.ch/record/2282102engChen, Ding-GengLio, YuhlongNg, HonTsai, Tzong-RuStatistical modeling for degradation dataMathematical Physics and MathematicsThis book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.Springeroai:cds.cern.ch:22821022017
spellingShingle Mathematical Physics and Mathematics
Chen, Ding-Geng
Lio, Yuhlong
Ng, Hon
Tsai, Tzong-Ru
Statistical modeling for degradation data
title Statistical modeling for degradation data
title_full Statistical modeling for degradation data
title_fullStr Statistical modeling for degradation data
title_full_unstemmed Statistical modeling for degradation data
title_short Statistical modeling for degradation data
title_sort statistical modeling for degradation data
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-981-10-5194-4
http://cds.cern.ch/record/2282102
work_keys_str_mv AT chendinggeng statisticalmodelingfordegradationdata
AT lioyuhlong statisticalmodelingfordegradationdata
AT nghon statisticalmodelingfordegradationdata
AT tsaitzongru statisticalmodelingfordegradationdata