Download Instructor Resources of The Theory of Probability - Instructor's Solutions Manual
PDF Please note that by purchasing this product, you will only receive instructor resources related to the book. This product does not include the book itself. by Santosh S. Venkatesh
Information
Format: PDF Language: English Publisher: Cambridge University Press Publication Date of the Electronic Edition: 2012
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ISBN: 9781107024472, 1107024471, 9781139848220, 1139848224
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Description
From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians. Modular structure, with clearly differentiated core material, applications and digressions, allows for easy development of bespoke study modules and encourages further exploration Self-contained and comprehensive, requiring no specialised or advanced mathematical background Accompanied by over 500 problems, more than 250 worked examples and over 80 highly detailed applications from fields as diverse as computation, epidemiology complexity, neuroscience, astronomy, genetics, prediction, physics, queuing and actuarial science
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