Using MATLAB to Solve Statistical Problems
A Practical Guide to the Book “Statistics for Chemical and Process Engineers”
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Beschreibung
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 in
- Data visualisation
- Hypothesis testing
- Linear and nonlinear regression
- Design of experiments
- Time-series analysis
- System identification
- Students and engineers that wish to solve statistical problems using Matlab
- Professors and instructors that wish to use Matlab in their courses
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.
All necessary Matlab commands are included Practical solutions of concrete examples Time-Series Analysis and System Identification as additional material
Autor*in
Yuri A.W. Shardt
Themen in »Using MATLAB to Solve Statistical Problems«
Data visualization with Matlab Time series analysis and system identification with Matlab Solving statistical problem with Matlab Regression analysis with Matlab Statistical distributions