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Proceedings of the Pacific Rim Statistical Conference for Production Engineering = Big Data, Production Engineering and Statistics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Proceedings of the Pacific Rim Statistical Conference for Production Engineering/ edited by Dongseok Choi, Daeheung Jang, Tze Leung Lai, Youngjo Lee, Ying Lu, Jun Ni, Peter Qian, Peihua Qiu, George Tiao.
其他題名:	Big Data, Production Engineering and Statistics /
其他作者:	Choi, Dongseok.
面頁冊數:	VIII, 170 p. 36 illus., 29 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://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, Daeheung Jang, Tze Leung Lai, Youngjo Lee, Ying Lu, Jun Ni, Peter Qian, Peihua Qiu, George Tiao. - 1st ed. 2018. - VIII, 170 p. 36 illus., 29 illus. in color.online resource. - 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:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Proceedings of the Pacific Rim Statistical Conference for Production Engineering = Big Data, Production Engineering and Statistics /
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