Chaparral, Uncertainty Analysis, Rice Science

Editors: Emma Underwood and Hugh Safford, both affiliated with the Department of Environmental Science and Policy (Underwood is a research scientist, Safford is a member of the research faculty); Jon Keeley, a senior scientist with the U.S. Geological Survey, an adjunct professor at UCLA and a research associate at the Rancho Santa Ana Botanic Garden; and Nicole Molinari, a U.S. Forest Service province ecologist for Southern California. (Springer International Publishing/2018)

Benjamin D. Shaw, professor, Department of Mechanical and Aerospace Engineering, College of Engineering, addresses methods for evaluation of uncertainties in experimental data, as well as predictions made using these data, with implementation in R (a system for statistical computation and graphics). The book 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. (Routledge/2017)

By Zhongli Pan and Ragab Khir, both affiliated with the Department of Biological and Agricultural Engineering, College of Engineering: Pan as an adjunct professor and Khir as a project scientist. Pan holds a Ph.D. in food engineering from UC Davis, and Khir earned his Ph.D. through a joint program of UC Davis and Suez Canal University, Ismailia, Egypt. (DEStech Publications Inc./June 2018)