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Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics Softcover Reprint of the Original 1st 2018 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 170 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 29 Illustrations, color; 7 Illustrations, black and white; VIII, 170 p. 36 illus., 29 illus. in color., 1 Paperback / softback
  • Sari: ICSA Book Series in Statistics
  • Ilmumisaeg: 22-Dec-2018
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811340846
  • ISBN-13: 9789811340840
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Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics Softcover Reprint of the Original 1st 2018 ed.Suurem pilt
  • Formaat: Paperback / softback, 170 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 29 Illustrations, color; 7 Illustrations, black and white; VIII, 170 p. 36 illus., 29 illus. in color., 1 Paperback / softback
  • Sari: ICSA Book Series in Statistics
  • Ilmumisaeg: 22-Dec-2018
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811340846
  • ISBN-13: 9789811340840
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789811340840.html
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.
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.