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Chance and random processes covers a broad number of material from sample Place and types of occasions to the basic regulations of probability, the basic counting principle, conditional probability, Bayes' theorem, and selection trees to chance distributions and functions of random variables to stochastic processes which includes Markov procedures and simulation procedures.
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