The Resource Statistics for chemical and process engineers : a modern approach, Yuri A.W. Shardt

Statistics for chemical and process engineers : a modern approach, Yuri A.W. Shardt

Label
Statistics for chemical and process engineers : a modern approach
Title
Statistics for chemical and process engineers
Title remainder
a modern approach
Statement of responsibility
Yuri A.W. Shardt
Creator
Author
Subject
Genre
Language
eng
Summary
"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"--Provided by publisher
Cataloging source
N$T
http://library.link/vocab/creatorName
Shardt, Yuri A. W
Dewey number
660
Illustrations
illustrations
Index
index present
LC call number
  • TP165
  • TP155.7
LC item number
.S53 2015
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Chemical engineering
  • Chemical processes
  • Statistics
  • SCIENCE
  • TECHNOLOGY & ENGINEERING
  • Chemical engineering
  • Chemical processes
  • Statistics
  • Chemistry
  • Industrial Chemistry/Chemical Engineering
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  • Control
  • Industrial and Production Engineering
  • Probability & statistics
  • Automatic control engineering
  • Production engineering
  • Industrial chemistry
Label
Statistics for chemical and process engineers : a modern approach, Yuri A.W. Shardt
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-21509-9
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 Ssries aalysis -- 6. Modelling dynamic processes using system identification methods -- 7. Using MATLAB® for statisitical analysis -- 8. Using Excel® to do statistical analysis -- 9. Appendix A: Solution key
Dimensions
unknown
Extent
1 online resource (414 pages)
File format
unknown
Form of item
online
Isbn
9783319215099
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-21509-9
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)925521777
  • (OCoLC)ocn925521777
Label
Statistics for chemical and process engineers : a modern approach, Yuri A.W. Shardt
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-21509-9
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 Ssries aalysis -- 6. Modelling dynamic processes using system identification methods -- 7. Using MATLAB® for statisitical analysis -- 8. Using Excel® to do statistical analysis -- 9. Appendix A: Solution key
Dimensions
unknown
Extent
1 online resource (414 pages)
File format
unknown
Form of item
online
Isbn
9783319215099
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-21509-9
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)925521777
  • (OCoLC)ocn925521777

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