Uncertainty Analysis of Experimental Data with R
| Author | : | |
| Rating | : | 4.50 (990 Votes) |
| Asin | : | 1498797326 |
| Format Type | : | paperback |
| Number of Pages | : | 206 Pages |
| Publish Date | : | 2015-04-10 |
| Language | : | English |
DESCRIPTION:
The uncertainty analyses conform to accepted professional standards (ASME).4. Extensive use of modern open source software (R).2. The books discusses both basic and more complex methods including linear regression, nonlinear regression, and kernel smoothing curve fits, as well as Taylor Series, Monte Carlo and Bayesian approaches. "This would be an excellent book for undergraduate, graduate and beyond….The style of writing is easy to read and the author does a good job of adding humor in places.
He has published widely in archival journals and became an ASME Fellow in 2003. Shaw is a professor in the Mechanical and Aerospace Engineering Department at the University of California, Davis. Along with other courses, he has taught undergraduate and graduate courses on engineering experimentation an
Along with other courses, he has taught undergraduate and graduate courses on engineering experimentation and uncertainty analysis. Shaw is a professor in the Mechanical and Aerospace Engineering Department at the University of California, Davis. . About the Author Benjamin D. His research interests are primarily in experimental and theoretical aspects of combustion. He has published widely in archival journals and became an ASME Fellow in 2003