Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Hardcover. Condizione: new. Hardcover. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field. Ideal for students and researchers in the quantitative sciences, this book provides an authoritative and approachable account of probability theory, written by leading researchers in the field. Modern applications are also developed, giving readers an appreciation of important research topics such as statistical mechanics and information theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Lingua: Inglese
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Lingua: Inglese
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Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field.
Lingua: Inglese
Editore: Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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ISBN 10: 1009580698 ISBN 13: 9781009580694
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Lingua: Inglese
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ISBN 10: 1009580698 ISBN 13: 9781009580694
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Lingua: Inglese
Editore: Cambridge University Press, GB, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Aggiungi al carrelloHardback. Condizione: New. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field.
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Lingua: Inglese
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ISBN 10: 1009580698 ISBN 13: 9781009580694
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessible in style. The fundamentals of probability theory are elegantly presented, supported by numerous examples and illustrations, and modern applications are later introduced giving readers an appreciation of current research topics. The text covers distribution functions, statistical inference and data analysis, and more advanced methods including Markov chains and Poisson processes, widely used in dynamical systems and data science research. The concluding section, 'Entropy, Probability and Statistical Mechanics' unites key concepts from the text with the authors' impressive research experience, to provide a clear illustration of these powerful statistical tools in action. Ideal for students and researchers in the quantitative sciences this book provides an authoritative account of probability theory, written by leading researchers in the field. Ideal for students and researchers in the quantitative sciences, this book provides an authoritative and approachable account of probability theory, written by leading researchers in the field. Modern applications are also developed, giving readers an appreciation of important research topics such as statistical mechanics and information theory. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 424 pages. 10.00x7.01x0.50 inches. In Stock.