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Synopsis
Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory.
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About the Author
Ariel Amir is a Professor at Harvard University, Massachusetts. His research centers on the theory of complex systems.
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Thinking Probabilistically (Cambridge Texts in Applied Mathematics)
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Thinking Probabilistically : Stochastic Processes, Disordered Systems, and Their Applications
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Thinking Probabilistically (Cambridge Texts in Applied Mathematics)
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Thinking Probabilistically : Stochastic Processes, Disordered Systems, and Their Applications
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Thinking Probabilistically: Stochastic Processes, Disordered Systems, and their Applications
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Thinking Probabilistically: Stochastic Processes, Disordered Systems, and their Applications
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Paperback. Condition: new. Paperback. Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion includes Markov processes and random walks, Langevin and FokkerPlanck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory. Assuming only an undergraduate-level background in mathematics, this book explains the power of thinking probabilistically through a diverse set of applications drawn from science. It covers a wide range of topics never before discussed together in a unified fashion while keeping technicalities to a minimum. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108789981
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Thinking Probabilistically: Stochastic Processes, Disordered Systems, and Their Applications
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ISBN 10: 1108789986
ISBN 13: 9781108789981
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