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Proceedings of the Pacific Rim Statistical Conference for Production Engineering

Big Data, Production Engineering and Statistics

  • Conference proceedings
  • © 2018

Overview

  • Presents current statistical challenges in production engineering with big data
  • Combines research from both statistics and production engineering
  • Presents a wide range of statistical methods and applications for big data in production engineering

Part of the book series: ICSA Book Series in Statistics (ICSABSS)

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Table of contents (12 papers)

  1. Operation/Production Decision Making

  2. Reliability and Health Management

  3. Recent Advances in Statistical Methods

Keywords

About this book

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.

Editors and Affiliations

  • Oregon Health & Science University , Portland, USA

    Dongseok Choi

  • Pukyong National University , Busan, Korea (Republic of)

    Daeheung Jang

  • Stanford University, Stanford, USA

    Tze Leung Lai

  • Seoul National University, Gwanak-gu, Seoul, Korea (Republic of)

    Youngjo Lee

  • Stanford University , Stanford, USA

    Ying Lu

  • University of Michigan–Ann Arbor, Ann Arbor, USA

    Jun Ni

  • University of Wisconsin–Madison, Madison, USA

    Peter Qian

  • University of Florida, Gainesville, USA

    Peihua Qiu

  • University of Chicago , Chicago, USA

    George Tiao

Bibliographic Information

  • Book Title: Proceedings of the Pacific Rim Statistical Conference for Production Engineering

  • Book Subtitle: Big Data, Production Engineering and Statistics

  • Editors: Dongseok Choi, Daeheung Jang, Tze Leung Lai, Youngjo Lee, Ying Lu, Jun Ni, Peter Qian, Peihua Qiu, George Tiao

  • Series Title: ICSA Book Series in Statistics

  • DOI: https://doi.org/10.1007/978-981-10-8168-2

  • Publisher: Springer Singapore

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-10-8167-5Published: 28 March 2018

  • Softcover ISBN: 978-981-13-4084-0Published: 22 December 2018

  • eBook ISBN: 978-981-10-8168-2Published: 27 March 2018

  • Series ISSN: 2199-0980

  • Series E-ISSN: 2199-0999

  • Edition Number: 1

  • Number of Pages: VIII, 170

  • Number of Illustrations: 7 b/w illustrations, 29 illustrations in colour

  • Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Big Data/Analytics

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