Using MATLAB to Solve Statistical Problems (eBook, PDF)
A Practical Guide to the Book "Statistics for Chemical and Process Engineers"
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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.ContentDetailed solutions for problems inData v...
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.
Content
Detailed solutions for problems in
- Data visualisation
- Hypothesis testing
- Linear and nonlinear regression
- Design of experiments
- Time-series analysis
- System identification
Target Groups
- Students and engineers that wish to solve statistical problems using Matlab
- Professors and instructors that wish to use Matlab in their courses
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.
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