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Empirical Modeling and Data Analysis for Engineers and Applied Scientists

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 sc...

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Main Author: Pardo, Scott A. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Statistics .
Biomedical engineering.
Biochemical engineering.
Chemical engineering.
Environmental sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistical Theory and Methods.
Biomedical Engineering/Biotechnology.
Biochemical Engineering.
Industrial Chemistry/Chemical Engineering.
Environmental Science and Engineering.
Online Access:https://doi.org/10.1007/978-3-319-32768-6

Internet

https://doi.org/10.1007/978-3-319-32768-6

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