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Bayesian Networks for Reliability Engineering by Baoping Cai (English) Paperback

Description: Bayesian Networks for Reliability Engineering by Baoping Cai, Yonghong Liu, Lei Jiang, Zengkai Liu, Yuanjiang Chang Estimated delivery 3-12 business days Format Paperback Condition Brand New Description After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. Publisher Description This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering. Author Biography Baoping Cai is an associate professor at the China University of Petroleum (East China), a visiting researcher of the "Hong Kong Scholar" program at the City University of Hong Kong, and a visiting researcher at the Norwegian University of Science and Technology. He is an associate editor of IEEE Access (SCI journal) and Human-Centric Computing and Information Sciences (SCI journal), an editorial board member of 3 international journals, and a leading guest editor of 1 international journal. His research interests include reliability engineering, fault diagnosis, risk analysis, and Bayesian networks methodology and application. Up to now, he has published 65 SCI-index journal papers, 4 monographs, and holds 37 patents. Details ISBN 9811365180 ISBN-13 9789811365188 Title Bayesian Networks for Reliability Engineering Author Baoping Cai, Yonghong Liu, Lei Jiang, Zengkai Liu, Yuanjiang Chang Format Paperback Year 2020 Pages 257 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:151356052; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 211.95 USD

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End Time: 2024-02-26T03:39:50.000Z

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Bayesian Networks for Reliability Engineering by Baoping Cai (English) Paperback

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Restocking Fee: No

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ISBN-13: 9789811365188

Type: NA

Publication Name: NA

Book Title: Bayesian Networks for Reliability Engineering

Item Length: 9.3in

Item Width: 6.1in

Author: Yonghong Liu, Yuanjiang Chang, Baoping caï, Zengkai Liu, Lei Jiang

Format: Trade Paperback

Language: English

Topic: Engineering (General), Machinery, Quality Control

Publisher: Springer

Publication Year: 2020

Genre: Technology & Engineering

Item Weight: 16 Oz

Number of Pages: IX, 257 Pages

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