From classical foundations to advanced modern theory this self-contained and comprehensive guide to probability uses a pedagogical focus on discovery and elementary methods of proof to weave together mathematical proofs historical context and richly detailed illustrative applications. A fascinating reference and essential resource for engineers computer scientists and mathematicians.
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