The Resource Empirical modeling and data analysis for engineers and applied scientists, Scott A. Pardo ; with contributions by Yehudah A. Pardo

Empirical modeling and data analysis for engineers and applied scientists, Scott A. Pardo ; with contributions by Yehudah A. Pardo

Label
Empirical modeling and data analysis for engineers and applied scientists
Title
Empirical modeling and data analysis for engineers and applied scientists
Statement of responsibility
Scott A. Pardo ; with contributions by Yehudah A. Pardo
Creator
Author
Subject
Genre
Language
eng
Summary
This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation) Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process. Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter. The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Pardo, Scott A
Dewey number
519.5
Illustrations
illustrations
Index
index present
LC call number
QA276
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Mathematical statistics
  • Mathematics
  • Medical
  • Technology & Engineering
  • Science
  • Science
  • Probability & statistics
  • Biomedical engineering
  • Biochemical engineering
  • Industrial chemistry
  • Environmental science, engineering & technology
Label
Empirical modeling and data analysis for engineers and applied scientists, Scott A. Pardo ; with contributions by Yehudah A. Pardo
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-32768-6
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
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
Preface -- Acknowledgments -- 1. Some Probability Concepts -- 2. Some Statistical Concepts -- 3. Measurement Systems Analysis -- 4. Modeling with Data -- 5. Factorial Experiments -- 6. Fractional Factorial Designs -- 7. Higher Order Approximations -- 8. Mixture Experiments -- 9. Some Examples and Applications -- 10. Binary Logistic Regression -- 11. Reliability, Life Testing, and Shelf Life -- 12. Some Bayesian Concepts -- 13. Validation and Verification -- 14. Simulation and Random Variable Generation -- 15. Taguchi MethodsĀ® and Robust Design -- References
Dimensions
unknown
Extent
1 online resource (xv, 247 pages)
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9783319327686
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-32768-6
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)954332863
  • (OCoLC)ocn954332863
Label
Empirical modeling and data analysis for engineers and applied scientists, Scott A. Pardo ; with contributions by Yehudah A. Pardo
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-32768-6
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
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
Preface -- Acknowledgments -- 1. Some Probability Concepts -- 2. Some Statistical Concepts -- 3. Measurement Systems Analysis -- 4. Modeling with Data -- 5. Factorial Experiments -- 6. Fractional Factorial Designs -- 7. Higher Order Approximations -- 8. Mixture Experiments -- 9. Some Examples and Applications -- 10. Binary Logistic Regression -- 11. Reliability, Life Testing, and Shelf Life -- 12. Some Bayesian Concepts -- 13. Validation and Verification -- 14. Simulation and Random Variable Generation -- 15. Taguchi MethodsĀ® and Robust Design -- References
Dimensions
unknown
Extent
1 online resource (xv, 247 pages)
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9783319327686
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-32768-6
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)954332863
  • (OCoLC)ocn954332863

Library Locations

  • Architecture LibraryBorrow it
    Gould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US
    35.205706 -97.445050
  • Bizzell Memorial LibraryBorrow it
    401 W. Brooks St., Norman, OK, 73019, US
    35.207487 -97.447906
  • Boorstin CollectionBorrow it
    401 W. Brooks St., Norman, OK, 73019, US
    35.207487 -97.447906
  • Chinese Literature Translation ArchiveBorrow it
    401 W. Brooks St., RM 414, Norman, OK, 73019, US
    35.207487 -97.447906
  • Engineering LibraryBorrow it
    Felgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US
    35.205706 -97.445050
  • Fine Arts LibraryBorrow it
    Catlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US
    35.210371 -97.448244
  • Harry W. Bass Business History CollectionBorrow it
    401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • History of Science CollectionsBorrow it
    401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • John and Mary Nichols Rare Books and Special CollectionsBorrow it
    401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US
    35.207487 -97.447906
  • Library Service CenterBorrow it
    2601 Technology Place, Norman, OK, 73019, US
    35.185561 -97.398361
  • Price College Digital LibraryBorrow it
    Adams Hall 102 307 West Brooks St., Norman, OK, 73019, US
    35.210371 -97.448244
  • Western History CollectionsBorrow it
    Monnet Hall 630 Parrington Oval, Rm. 300, Norman, OK, 73019, US
    35.209584 -97.445414
Processing Feedback ...