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Likelihood and random processes addresses a broad choice of content material from sample House and kinds of gatherings to the basic rules of chance, the basic counting principle, conditional probability, Bayes' theorem, and choice trees to likelihood distributions and functions of random variables to stochastic processes such as Markov processes and simulation procedures.

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