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"The long-awaited revision of Fundamentals of applied probability and random processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. "

"This volume offers a thorough treatment of the 'grand universe' of linear and weakly nonlinear regression models, from an algebraic view as well as a stochastic one. It includes examples and test computations, and a bibliography with over 2000 references."

"Provides a comprehensive introduction to the mathematical theory of probability. This text also covers its application to the modeling of random phenomena encountered in electrical and computer engineering, and its uses in making optimal decisions and inferences. It addresses both conceptual mathematical methods and their real-world applications"