Using Excel to Solve Statistical Problems: A Practical Guide to the Book "Statistics for Chemical and Process Engineers"

Yuri A.W. Shardt

ISBN 10: 303165448X / ISBN 13: 9783031654480

Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2024

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a complete overview of how to use Excel to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed Excel examples for solving specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired. 73 pp. Englisch.

Seller Inventory # 9783031654480

Bibliographic Details

• Title: Using Excel to Solve Statistical Problems: A Practical Guide to the Book "Statistics for Chemical and Process Engineers"
• Publisher: Springer, Berlin, Springer Nature Switzerland, Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 303165448X
• ISBN 13: 9783031654480
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 32D millimeters 210 millimeters width by 148 millimeters height by 32 millimeters depth

About this title

Synopsis

This book provides a complete overview of how to use Excel to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed Excel examples for solving specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired.

About the Author

Professor Yuri A. W. Shardt is currently the chair of the Department of Automation Engineering in the Faculty of Computer Science and Automation at the Technical University of Ilmenau, working in the fields of big data, including process identification and monitoring with an emphasis on the development and industrial implementation of soft sensors; holistic control, including the development of advanced control strategies for complex industrial process; and the smart world, including implementations such as smart factories, smart home, Industry 4.0, and smart grids. Previously, he worked at the University of Waterloo in the Department of Chemical Engineering and at the University of Duisburg-Essen in the Institute of Control and Complex Systems as an Alexander von Humboldt Fellow. He has written over 60 papers appearing in such journals as “Automatica”, “Journal of Process Control”, “IEEE Transactions on Industrial Electronics”, and “Industrial and Engineering Chemistry Research” on topics ranging from system identification, soft sensor development, to process control. He has presented his research at numerous conferences and taught various courses in the intersection between statistics, chemical engineering, process control, Excel®, and MATLAB®. In addition to his academic work, he has spent considerable time in industry working on implementing various process control solutions.