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  • © 2023

Using MATLAB to Solve Statistical Problems

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

  • All necessary Matlab commands are included

  • Practical solutions of concrete examples

  • Time-Series Analysis and System Identification as additional material

Part of the book series: essentials (ESSENT)

Part of the book sub series: Springer essentials (SE)

  • 287 Accesses

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Table of contents (4 chapters)

  1. Front Matter

    Pages I-XIV
  2. Introduction to MATLAB®

    • Yuri A.W. Shardt
    Pages 1-7
  3. Data Visualisation

    • Yuri A.W. Shardt
    Pages 9-22
  4. Regression Analysis and Design of Experiments

    • Yuri A.W. Shardt
    Pages 33-61
  5. Back Matter

    Pages 63-65

About this book

This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the 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.


  • Data visualization with Matlab
  • Time series analysis and system identification with Matlab
  • Solving statistical problem with Matlab
  • Regression analysis with Matlab
  • Statistical distributions

Authors and Affiliations

  • Erfurt, Germany

    Yuri A.W. Shardt

About the author

Prof. Dr. Yuri A.W. Shardt is currently the chair of the Department of Automation Engineering (de: Fachgebiet Automatisierungstechnik) at the Technical University of Ilmenau.

Bibliographic Information

  • Book Title: Using MATLAB to Solve Statistical Problems

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

  • Authors: Yuri A.W. Shardt

  • Series Title: essentials

  • DOI:

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • eBook ISBN: 978-3-031-40299-9Published: 29 September 2023

  • Series ISSN: 2197-6708

  • Series E-ISSN: 2197-6716

  • Edition Number: 1

  • Number of Pages: XIV, 65

  • Number of Illustrations: 1 b/w illustrations, 7 illustrations in colour

  • Topics: Control and Systems Theory, Industrial and Production Engineering