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Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics
This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical chall...
Autores principales: | , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2018
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-981-10-8168-2 http://cds.cern.ch/record/2311320 |
_version_ | 1780957882847592448 |
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author | Choi, Dongseok Jang, Daeheung Lai, Tze Lee, Youngjo Lu, Ying Ni, Jun Qian, Peter Qiu, Peihua Tiao, George |
author_facet | Choi, Dongseok Jang, Daeheung Lai, Tze Lee, Youngjo Lu, Ying Ni, Jun Qian, Peter Qiu, Peihua Tiao, George |
author_sort | Choi, Dongseok |
collection | CERN |
description | This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods. |
id | cern-2311320 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
spelling | cern-23113202021-04-22T06:34:41Zdoi:10.1007/978-981-10-8168-2http://cds.cern.ch/record/2311320engChoi, DongseokJang, DaeheungLai, TzeLee, YoungjoLu, YingNi, JunQian, PeterQiu, PeihuaTiao, GeorgeProceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and StatisticsMathematical Physics and MathematicsThis book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.Springeroai:cds.cern.ch:23113202018 |
spellingShingle | Mathematical Physics and Mathematics Choi, Dongseok Jang, Daeheung Lai, Tze Lee, Youngjo Lu, Ying Ni, Jun Qian, Peter Qiu, Peihua Tiao, George Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics |
title | Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics |
title_full | Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics |
title_fullStr | Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics |
title_full_unstemmed | Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics |
title_short | Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics |
title_sort | proceedings of the pacific rim statistical conference for production engineering : big data, production engineering and statistics |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-981-10-8168-2 http://cds.cern.ch/record/2311320 |
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