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portada Using Python to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers”
Type
Physical Book
Year
2026
Language
English
Format
Paperback
Dimensions
21x14.8 cm
ISBN13
9783032403193

Using Python to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers”

Yuri A.w. Shardt (Author) · Springer Nature Switzerland · Paperback

Using Python to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers” - Yuri A.W. Shardt

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Synopsis "Using Python to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers”"

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.


 

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