Using Python to Solve Statistical Problems
A Practical Guide to the Book “Statistics for Chemical and Process Engineers”
Buch in deiner Nähe kaufen
Beschreibung
This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Python to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, Python code blocks 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.
The content
Detailed solutions for problems in
- Data visualization
- Hypothesis testing
- Linear and nonlinear regression
- Design of experiments
The target groups
- Students and engineers that wish to solve statistical problems using Python
- Professors and instructors that wish to use Python 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.
This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Python to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, Python code blocks 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.
The content
Detailed solutions for problems in
- Data visualization
- Hypothesis testing
- Linear and nonlinear regression
- Design of experiments
The target groups
- Students and engineers that wish to solve statistical problems using Python
- Professors and instructors that wish to use Python 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.
Provides detailed examples of solutions in Python for common problems Covers data visualisation, statistical computation, regression, factorial design, and system identification Explains how to use Python for statistical analysis
Autor*in
Yuri A.W. Shardt
Themen in »Using Python to Solve Statistical Problems«
Statistical analysis Data visualization Hypothesis testing Regression analysis Design of experiments (DoE) System identification time series Applied data science Python programming