Statistics for Chemical Engineers

Erscheinungsjahr 2025
ISBN: 978-1-009-54189-3
Verlag: Cambridge University Press

Buch, Englisch, 650 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1072 g

Reihe: Cambridge Series in Chemical Engineering

Build a firm foundation for studying statistical modelling, data science, and machine learning with this practical introduction to statistics, written with chemical engineers in mind. It introduces a data–model–decision approach to applying statistical methods to real-world chemical engineering challenges, establishes links between statistics, probability, linear algebra, calculus, and optimization, and covers classical and modern topics such as uncertainty quantification, risk modelling, and decision-making under uncertainty. Over 100 worked examples using Matlab and Python demonstrate how to apply theory to practice, with over 70 end-of-chapter problems to reinforce student learning, and key topics are introduced using a modular structure, which supports learning at a range of paces and levels. Requiring only a basic understanding of calculus and linear algebra, this textbook is the ideal introduction for undergraduate students in chemical engineering, and a valuable preparatory text for advanced courses in data science and machine learning with chemical engineering applications.

Autoren/Hrsg.

Zavala, Victor M.

Inhaltsverzeichnis

1. Introduction to statistics; 2. Univariate random variables; 3. Multivariate random variables; 4. Estimation for random variables; 5. Estimation for structural models; 6. Statistical learning; 7. Decision-making under uncertainty.

Über Autor(innen)

Zavala, Victor M.
Victor M. Zavala is the Baldovin-DaPra Professor of Chemical and Biological Engineering at the University of Wisconsin, Madison and a Senior Computational Mathematician at Argonne National Laboratory. He is the recipient of the Harvey Spangler Award for Innovative Teaching and Learning Practices from the College of Engineering at UW-Madison, and of the Presidential Early Career Award for Scientists and Engineers (PECASE).