TY - JOUR
AU1 - Enderle, John D.
AU2 - Farden, David C.
AU3 - Krause, Daniel J.
AB - [We all face uncertainty. A chance encounter, an unpredicted rain or something more serious such as an auto accident or illness. Ordinarily, the uncertainty faced in our daily routine is never quantified and is left as a feeling or intuition. In engineering applications, however, uncertainty must be quantitatively defined, and analyzed in a mathematically rigorous manner resulting in an appropriate and consistent solution. Probability theory provides the tools to analyze, in a deductive manner, the nondeterministic or random aspects of a problem. Our goal is to develop this theory in an axiomatic framework and to demonstrate how it can be used to solve many practical problems in electrical engineering.]
TI - Basic Probability Theory for Biomedical Engineers: Introduction
DA - 2006-01-01
UR - https://www.deepdyve.com/lp/springer-journals/basic-probability-theory-for-biomedical-engineers-introduction-uAbURzcdOK
DP - DeepDyve
ER -