Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics - Brossura

Libro 13 di 19: ICSA Book Series in Statistics
 
9789811340840: Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics
Brossura
ISBN 10: 9811340846 ISBN 13: 9789811340840
Casa editrice: Springer, 2018

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
9811340846
ISBN 13 
9789811340840
Rilegatura
Copertina flessibile
Numero di pagine
180
Redattore
Choi Dongseok, Jang Daeheung, Lai Tze Leung, Lee Youngjo, Lu Ying, Ni Jun, Qian Peter, Qiu Peihua, Tiao George
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Germania

Altre edizioni note dello stesso titolo

9789811081675: Proceedings of the Pacific Rim Statistical Conference for Production Engineering: Big Data, Production Engineering and Statistics

Edizione in evidenza

ISBN 10:  9811081670 ISBN 13:  9789811081675
Casa editrice: Springer Nature, 2018
Rilegato