| Dewey Class |
519.5 |
| Title |
Proceedings of the Pacific Rim Statistical Conference for Production Engineering ([EBook]) : 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. |
| Added Personal Name |
Choi, Dongseok |
| Jang, Daeheung |
| Lai, Tze Leung |
| Lee, Youngjo |
| Lu, Ying |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
Singapore : Springer Singapore , 2018. |
| Physical Details |
VIII, 170 pages, 36 illus., 29 illus. in color. : online resource. |
| Series |
ICSA Book Series in Statistics 2199-0980 |
| ISBN |
9789811081682 |
| Summary Note |
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.: |
| Contents note |
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. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-981-10-8168-2 |
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