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Viser: Statistics for Chemical and Process Engineers - A Modern Approach
Statistics for Chemical and Process Engineers Vital Source e-bog
Yuri A.W. Shardt
(2015)
Statistics for Chemical and Process Engineers Vital Source e-bog
Yuri A.W. Shardt
(2015)
Statistics for Chemical and Process Engineers
A Modern Approach
Yuri A. W. Shardt
(2015)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Springer Nature (Oktober 2015)
- ISBN: 9783319215099
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Print: 2 sider kan printes ad gangen
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Detaljer om varen
- Vital Source 365 day rentals (fixed pages)
- Udgiver: Springer Nature (Oktober 2015)
- ISBN: 9783319215099R365
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback
- Udgiver: Springer International Publishing AG (Oktober 2015)
- ISBN: 9783319215082
A coherent, concise and comprehensive course in the statistics needed for a modern career in chemical engineering; covers all of the concepts required for the American Fundamentals of Engineering examination.
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.
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.