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Proceedings of the Pacific Rim Stati...

Pacific Rim Statistical Conference for Production Engineering (2016 :)

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Proceedings of the Pacific Rim Statistical Conference for Production Engineering = big data, production engineering and statistics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the Pacific Rim Statistical Conference for Production Engineering/ edited by Dongseok Choi ... [et al.].
Reminder of title:	big data, production engineering and statistics /
other author:	Choi, Dongseok.
corporate name:	Pacific Rim Statistical Conference for Production Engineering
Published:	Singapore :Springer Singapore : : 2018.,
Description:	viii, 170 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Production engineering - Congresses. - Statistical methods -
Online resource:	http://dx.doi.org/10.1007/978-981-10-8168-2
ISBN:	9789811081682

Proceedings of the Pacific Rim Statistical Conference for Production Engineering = big data, production engineering and statistics /
Proceedings of the Pacific Rim Statistical Conference for Production Engineeringbig data, production engineering and statistics /[electronic resource] :edited by Dongseok Choi ... [et al.]. - Singapore :Springer Singapore :2018. - viii, 170 p. :ill., digital ;24 cm. - ICSA book series in statistics,2199-0980. - ICSA book series in statistics..

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.

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.

ISBN: 9789811081682

Standard No.: 10.1007/978-981-10-8168-2doiSubjects--Topical Terms:

3309079
Production engineering
--Statistical methods--Congresses.

LC Class. No.: TS176 / .P763 2016

Dewey Class. No.: 670.727

Proceedings of the Pacific Rim Statistical Conference for Production Engineering = big data, production engineering and statistics /
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245 1 0 $a Proceedings of the Pacific Rim Statistical Conference for Production Engineering $h [electronic resource] : $b big data, production engineering and statistics / $c edited by Dongseok Choi ... [et al.].
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300 $a viii, 170 p. : $b ill., digital ; $c 24 cm.
490 1 $a ICSA book series in statistics, $x 2199-0980
505 0 $a 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.
520 $a 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.
650 0 $a Production engineering $x Statistical methods $v Congresses. $3 3309079
650 0 $a Big data $v Congresses. $3 3166510
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650 2 4 $a Big Data/Analytics. $3 2186785
700 1 $a Choi, Dongseok. $3 3309078
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