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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 are also available for download.
With its integrative approach to system identification, regression, and statistical theory, this book 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.
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 are also available for download.
With its integrative approach to system identification, regression, and statistical theory, this book 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.
Includes an introduction to subspace methods in the updated second edition
Presents an integrative approach to system identification, linear regression, and statistical theory
Covers all required concepts for the American Fundamentals of Engineering Examination
Includes supplementary material: [...]
Introduction to Statistics and Data Visualisation.- Theoretical Foundation for Statistical Analysis.- Regression.- Design of Experiments.- Modelling Stochastic Processes with Time Series Analysis.- Modelling Dynamic Processes Using System Identification Methods.- Using MATLAB® for Statistical Analysis.- Using Excel® to do Statistical Analysis.
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Chemische Technik |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxx
430 S. 114 s/w Illustr. 56 farbige Illustr. 430 p. 170 illus. 56 illus. in color. |
| ISBN-13: | 9783030831929 |
| ISBN-10: | 3030831922 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Shardt, Yuri A. W. |
| Auflage: | 2nd edition 2022 |
| Hersteller: |
Springer
Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 25 mm |
| Von/Mit: | Yuri A. W. Shardt |
| Erscheinungsdatum: | 07.01.2023 |
| Gewicht: | 0,698 kg |