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Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics an
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The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variabl
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The second part (Chapters 4-6) provides a foundation of stochastic analysis, gives information on basic models of random processes and tools to study them. Here
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A resource for probability AND random processes, with hundreds ofworked examples and probability and Fourier transform tables This survival guide in probability