Probability Theory and Statistical Methods for Engineers describes the fundamental concepts and applications of probability and statistics. By bringing together modern probability theory with the more practical applications of statistics, it bridges the gap between theory and practice. Topics such as, for example, Fourier transforms and stochastic processes are presented as a series of methods or recipes which can be applied to specific problems, but for this they need to be well understood. This book is essential reading for practicing engineers who need a sound background knowledge of probabilistic and statistical concepts and methods of analysis for their everyday work. It is also a useful guide for graduate engineering students.