Statistics for Chemical and Process Engineers
Springer International Publishing (Verlag)
978-3-319-21508-2 (ISBN)
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This book shows the reader how to develop and test models, design experiments and analyse data in ways easily applicable through readily available software tools like MS Excel® and MATLAB®. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text.
The reader is given a detailed framework for statistical procedures covering:
· data visualization;
· probability;
· linear and nonlinear regression;
· experimental design (including factorial and fractional factorial designs); and
· dynamic process identification.
Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB can also be downloaded from extras.springer.com.
With its integrative approach to system identification, regression and statistical theory, Statistics for Chemical and Process Engineers provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.
Prof. Dr. Yuri A. W. Shardt is currently an assistant professor at the University of Waterloo in the Department of Chemical Engineering, working in the field of process identification and monitoring with an emphasis on the development and industrial implementation of soft sensors. Previously, he worked at the University of Duisburg-Essen in the Institute of Control and Complex Systems (Fachgebiet Automatisierungstechnik und komplexe Systeme, AKS) as an Alexander von Humboldt Fellow. He has written 14 papers appearing in such journals as Automatica, Journal of Process Control, IEEE Transactions on Industrial Electronics, and Industrial and Engineering Chemistry Research on topics ranging from system identification, soft sensor development, to process control. He has presented his research at numerous conferences and taught various courses in the intersection between statistics, chemical engineering, process control, EXCEL®, and MATLAB®. Prof. Dr. Shardt completed his doctoral degree under the supervision of Prof. Dr. Biao Huang at the University of Alberta. His thesis examined the methods for extracting valuable data for system identification from data historians for application to soft sensor design. In addition to his academic work, he has spent considerable time in industry working on implementing various process control solutions. He also has interests in linguistics, as well as software internationalisation and localisation.
lt;p>1. Introduction to Statistics and Data Visualisation.- 2. Theoretical Foundation for Statistical Analysis.- 3. Regression.- 4. Design of Experiments.- 5. Modelling Stochastic Processes with Time Series Analysis.- 6. Modelling Dynamic Processes Using System Identification Methods.- 7.- Using MATLAB® for Statistical Analysis.- 8 : Using Excel® to do Statistical Analysis.
| Erscheint lt. Verlag | 27.10.2015 |
|---|---|
| Zusatzinfo | XXVI, 414 p. 133 illus., 48 illus. in color. With online files/update. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Naturwissenschaften ► Chemie ► Technische Chemie |
| Technik | |
| Schlagworte | ANOVA Analysis • Data Mining Chemistry • Data Visualization • Design of Experiments • FE Review Manual • Fundamentals of Engineering Exam Review Book • Generalised Factorial Design • Interpretation of Experiments • Introductory Statistics • Principal Component Analysis • Regression Analysis • System Identification |
| ISBN-10 | 3-319-21508-6 / 3319215086 |
| ISBN-13 | 978-3-319-21508-2 / 9783319215082 |
| Zustand | Neuware |
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