Statistics for Chemical and Process Engineers: A Modern Approach offers a coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering, and covers all concepts required for the American Fundamentals of Engineering examination. This book describes the methods used to develop and test models, design experiments, and analyze data in ways easily applicable through readily available software tools such as Microsoft® Excel® and MATLAB. Generalized methods that can be applied, regardless of the tool at hand, are a key feature of the text.
The reader is provided a detailed framework for statistical procedures covering:
- Data visualization
- Linear and nonlinear regression
- Experimental design (including factorial and fractional factorial designs)
- Dynamic process identification
Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques; templates (for use in Microsoft Excel and MATLAB) can also be downloaded from extras.springer.com. With its integrative approach to system identification, regression, and statistical theory, this book provides an excellent method of revision and self-study for chemical and process engineers in the following fields: experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive, and similar industries. This book will also benefit undergraduate and graduate students looking to begin a career in the process industries.