ISBN:
9783031402999
Language:
English
Pages:
1 Online-Ressource(XIV, 65 p. 8 illus., 7 illus. in color.)
Edition:
1st ed. 2023.
Series Statement:
Springer essentials
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Control engineering.
;
Industrial engineering.
;
Production engineering.
Abstract:
Introduction to MATLAB® -- Data Visualisation -- Chapter 2 : Data Visualisation -- Theoretical Statistics, Distributions, Hypothesis Testing, and Confidence Intervals -- Regression Analysis and Design of Experiments.
Abstract:
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.
DOI:
10.1007/978-3-031-40299-9
