Proceedings of the Pacific Rim Statistical Conference for Production Engineering Big Data, Production Engineering and Statistics /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Choi, Dongseok (Editor, http://id.loc.gov/vocabulary/relators/edt), Jang, Daeheung (Editor, http://id.loc.gov/vocabulary/relators/edt), Lai, Tze Leung (Editor, http://id.loc.gov/vocabulary/relators/edt), Lee, Youngjo (Editor, http://id.loc.gov/vocabulary/relators/edt), Lu, Ying (Editor, http://id.loc.gov/vocabulary/relators/edt), Ni, Jun (Editor, http://id.loc.gov/vocabulary/relators/edt), Qian, Peter (Editor, http://id.loc.gov/vocabulary/relators/edt), Qiu, Peihua (Editor, http://id.loc.gov/vocabulary/relators/edt), Tiao, George (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: ICSA Book Series in Statistics,
• Subjects: Statistics .; Big data.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Big Data/Analytics.

 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.