Proceedings of the Pacific Rim Statistical Conference for Production Engineering
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 inclu
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Dongseok Choi · Daeheung Jang Tze Leung Lai · Youngjo Lee · Ying Lu Jun Ni · Peter Qian · Peihua Qiu George Tiao Editors
Proceedings of the Pacific Rim Statistical Conference for Production Engineering Big Data, Production Engineering and Statistics
ICSA Book Series in Statistics Series editors Jiahua Chen, Department of Statistics, University of British Columbia, Vancouver, Canada Ding-Geng (Din) Chen, School of Social Work and Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
The ICSA Book Series in Statistics showcases research from the International Chinese Statistical Association that has an international reach. It publishes books in statistical theory, applications, and statistical education. All books are associated with the ICSA or are authored by invited contributors. Books may be monographs, edited volumes, textbooks and proceedings.
More information about this series at http://www.springer.com/series/13402
Dongseok Choi Daeheung Jang Tze Leung Lai Youngjo Lee Ying Lu Jun Ni Peter Qian Peihua Qiu George Tiao •
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Proceedings of the Pacific Rim Statistical Conference for Production Engineering Big Data, Production Engineering and Statistics
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Editors Dongseok Choi Oregon Health and Science University Portland, OR USA
Jun Ni University of Michigan–Ann Arbor Ann Arbor, MI USA
Daeheung Jang Pukyong National University Busan Korea (Republic of)
Peter Qian University of Wisconsin–Madison Madison, WI USA
Tze Leung Lai Stanford University Stanford, CA USA
Peihua Qiu University of Florida Gainesville, FL USA
Youngjo Lee Seoul National University Gwanak-gu, Seoul Korea (Republic of)
George Tiao University of Chicago Chicago, IL USA
Ying Lu Stanford University Stanford, CA USA
ISSN 2199-0980 ISSN 2199-0999 (electronic) ICSA Book Series in Statistics ISBN 978-981-10-8167-5 ISBN 978-981-10-8168-2 (eBook) https://doi.org/10.1007/978-981-10-8168-2 Library of Congress Control Number: 2017964576 © Springer Nature Singapore Pte Ltd. 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material c
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