Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers / Edition 1by Roy D. Yates, David J. Goodman
Pub. Date: 09/28/1998
Applications of probability theory appear throughout modern society, such as state lotteries, weather forecasts, insurance prices. Professionals use probability theory as an astute tool for decision making. Electrical and computer engineers use probability to design computer networks, test integrated circuits, and evaluate communications systems. This book is written to help engineers clearly grasp the concepts of probability and stochastic processes. It presents the theory of probability and stochastic process as a sequence of building blocks that are clearly identified. Each block is either an axiom, a definition, or a theorem. Intuitive explanations of new concepts are interspersed with mathematical statements.
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- Older Edition
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Table of ContentsExperiments, Models, and Probabilities.
Discrete Random Variables.
Multiple Discrete Random Variables.
Continuous Random Variables.
Multiple Continuous Random Variables.
Sums of Random Variables.
The Sample Mean.
Random Signal Processing.
Renewal Processes and Markov Chains.
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