Review by Choice Review
The word "uncertainty" is typically viewed as something negative, especially when it is used in the context of science or mathematics. Drosg (Universitat Wien, Austria) emphasizes that uncertainties should not always be viewed as indications of errors but, rather, be embraced by the fact that they will always exist in science and therefore are required to be addressed like any other numbers or data utilized in the study of applied mathematics or science. Drosg has vast experience in nuclear physics and electronics, as is evident from the numerous examples in his book. The book is based on the fact that "All scientifically relevant data have an uncertainty," and that "Data without uncertainty cannot be scientifically relevant." He covers a wide variety of venues in which uncertainty occurs, including uncertainties in data, statistical confidence, regression analysis, correlation, and uncertainties in experimental design. He addresses all this in a straightforward manner by presenting methods of how to treat the uncertainties that, in some cases, obviously exist and others that are much more subtle. Summing Up: Recommended. Faculty; researchers; professionals. J. T. Zerger Catawba College
Copyright American Library Association, used with permission.
Review by Choice Review
