Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics
Author:   Dongseok Choi ,  Daeheung Jang ,  Tze Leung Lai ,  Youngjo Lee
Publisher:   Springer Verlag, Singapore
Edition:   Softcover Reprint of the Original 1st 2018 ed.
ISBN:  

9789811340840


Pages:   170
Publication Date:   22 December 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics


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Overview

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.

Full Product Details

Author:   Dongseok Choi ,  Daeheung Jang ,  Tze Leung Lai ,  Youngjo Lee
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Softcover Reprint of the Original 1st 2018 ed.
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789811340840


ISBN 10:   9811340846
Pages:   170
Publication Date:   22 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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