Probability, Random Variables, and Stochastic Processes

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McGraw-Hill, 1984 - Mathematics - 576 pages
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* Treats probability theory and stochastic processes as a deductive discipline and illustrates them with basic engineering applications * Approximately 1/3 of the text is new with new material on: Parameter Estimation, Random Walks, Markov Chains, and Queuing Theory

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The Axioms of Probability
Repeated Trials
The Concept of a Random Variable

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