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Statistics for Chemical Engineers From Data to Models to Decisions
- Textbook
Published 2025
Description
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,…
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Key features
- Connects statistics to chemical engineering topics, including modelling of diverse random phenomena
- Illustrates statistical applications using detailed computer implementation examples
- Explains how principles of probability, statistics, optimization, and linear algebra can be used for data analysis and modelling complex systems
Keywords
About the book
- DOI https://doi.org/10.1017/9781009541916
- Series Cambridge Series in Chemical Engineering
- Subjects Chemical Engineering,Engineering,Statistics and Probability,Statistics for Physical Sciences and Engineering
- Format: Hardback
- Publication date: 25 September 2025
- ISBN: 9781009541893
- Dimensions (mm): 254 x 178 mm
- Weight: 1.62kg
- Page extent: 468 pages
- Availability: Available
- Format: Digital
- Publication date: 12 December 2025
- ISBN: 9781009541916
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