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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.
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.
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.
Inhaltsangabe
Introduction to MATLAB®.- Data Visualisation.- Chapter 2 : Data Visualisation.- Theoretical Statistics, Distributions, Hypothesis Testing, and Confidence Intervals.- Regression Analysis and Design of Experiments.
Introduction to MATLAB®.- Data Visualisation.- Chapter 2 : Data Visualisation.- Theoretical Statistics, Distributions, Hypothesis Testing, and Confidence Intervals.- Regression Analysis and Design of Experiments.
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