Yates, Roy D

Probability and Stochastic Processes : A Friendly Introduction for Electrical and Computer Engineers - 2nd - New Delhi : Wiley , 2005 . - xvii,519p.

Included Appendix A & B 501-510p.; References 511-512p.; Index 513-519p.

This user-friendly resource helps readers grasp the concepts of probability and stochastic processes, so they can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems. • Experiments, Models, and Probabilities. • Discrete Random Variables. • Continuous Random Variables. • Pairs of Random Variables. • Random Vectors. • Sums of Random Variables. • Parameter Estimation Using the Sample Mean. • Hypothesis Testing. • Estimation of a Random Variable. • Stochastic Processes. • Random Signal Processing. • Markov Chains.

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Textbook


Probability.
Stochastic processes.
Statistics.