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Statistics for Chemical and Process Engineers

A Modern Approach

Authors: Shardt, Yuri A.W.

  • Covers all concepts required by the American Fundamentals of Engineering Examination
  • Helps the reader perform correct data analysis by providing detailed guidance frameworks in addition to the conceptual presentation
  • Emphasizes examples relevant to chemical and process engineers especially those new to statistical analysis
  • Microsoft Excel Templates facilitate the use of the methods presented without requiring the practitioner to have access to specialized software
  • Generalized exposition of results means they can be put to use in the widest range of applications possible
  • Integrative approach to system identification, linear regression and statistical theory helps the reader to understand the similarities and differences in the methods used
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Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-21509-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-21508-2
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

A coherent, concise and comprehensive course in the statistics needed for a modern career in chemical engineering; covers all of the concepts required for the American Fundamentals of Engineering examination.

This book shows the reader how to develop and test models, design experiments and analyse data in ways easily applicable through readily available software tools like MS Excel® and MATLAB®. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text.

The reader is given a detailed framework for statistical procedures covering:

·         data visualization;

·         probability;

·         linear and nonlinear regression;

·         experimental design (including factorial and fractional factorial designs); and

·         dynamic process identification.

Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB can also be downloaded from extras.springer.com.

With its integrative approach to system identification, regression and statistical theory, Statistics for Chemical and Process Engineers provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.

About the authors

Prof. Dr. Yuri A. W. Shardt is currently an assistant professor at the University of Waterloo in the Department of Chemical Engineering, working in the field of process identification and monitoring with an emphasis on the development and industrial implementation of soft sensors. Previously, he worked at the University of Duisburg-Essen in the Institute of Control and Complex Systems (Fachgebiet Automatisierungstechnik und komplexe Systeme, AKS) as an Alexander von Humboldt Fellow. He has written 14 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®. Prof. Dr. Shardt completed his doctoral degree under the supervision of Prof. Dr. Biao Huang at the University of Alberta. His thesis examined the methods for extracting valuable data for system identification from data historians for application to soft sensor design. In addition to his academic work, he has spent considerable time in industry working on implementing various process control solutions. He also has interests in linguistics, as well as software internationalisation and localisation.

Table of contents (8 chapters)

  • Introduction to Statistics and Data Visualisation

    Shardt, Yuri A. W.

    Pages 1-30

  • Theoretical Foundation for Statistical Analysis

    Shardt, Yuri A. W.

    Pages 31-85

  • Regression

    Shardt, Yuri A. W.

    Pages 87-140

  • Design of Experiments

    Shardt, Yuri A. W.

    Pages 141-209

  • Modelling Stochastic Processes with Time Series Analysis

    Shardt, Yuri A. W.

    Pages 211-282

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-21509-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-21508-2
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistics for Chemical and Process Engineers
Book Subtitle
A Modern Approach
Authors
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-21509-9
DOI
10.1007/978-3-319-21509-9
Hardcover ISBN
978-3-319-21508-2
Edition Number
1
Number of Pages
XXVI, 414
Number of Illustrations and Tables
85 b/w illustrations, 48 illustrations in colour
Topics