Using Excel to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and...

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Yuri A.W. Shardt

Using Excel to Solve Statistical Problems

A Practical Guide to the Book “Statistics for Chemical and Process Engineers”

Yuri A.W. Shardt

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English

Springer International Publishing AG
31 August 2024

Probability & statistics; Maths for engineers; Industrial chemistry

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.

By: Yuri A.W. Shardt
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2024 ed.
Dimensions: Height: 210mm, Width: 148mm,
ISBN: 9783031654480
ISBN 10: 303165448X
Pages: 73
Publication Date: 31 August 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.