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Record Nr. |
UNINA9910300104003321 |
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Titolo |
Proceedings of the Pacific Rim Statistical Conference for Production Engineering : Big Data, Production Engineering and Statistics / / edited by Dongseok Choi, Daeheung Jang, Tze Leung Lai, Youngjo Lee, Ying Lu, Jun Ni, Peter Qian, Peihua Qiu, George Tiao |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (viii, 170 pages) : illustrations |
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Collana |
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ICSA Book Series in Statistics, , 2199-0980 |
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Disciplina |
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Soggetti |
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Statistics |
Big data |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Big Data/Analytics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Section 1: Design and Collection of Big Data -- Section 2: Analytic Methods of Big Data -- Section 3: Operation/Production Decision Making -- Section 4 Reliability and Health Management.-Section 5: Statistical Theories Related with the Big Data -- Section 6: Recent Advances in Statistical Methods -- Section 7: Development of Statistical Software for the Big Data -- Section 8: Big Data and Its Application to Industry -- Section 9: Big Data and Its Application to Industry. |
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Sommario/riassunto |
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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. |
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