Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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EUR 72,40
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 67,29
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Añadir al carritoHardcover. Condición: Brand New. 424 pages. 10.00x7.01x0.50 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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EUR 90,20
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 75,99
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Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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EUR 69,90
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
Librería: Russell Books, Victoria, BC, Canada
EUR 79,76
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Añadir al carritohardcover. Condición: New. Special order direct from the distributor.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 100,41
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Añadir al carritoHardback. Condición: 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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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
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Añadir al carritoCondición: NEW.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2025
ISBN 10: 1009580698 ISBN 13: 9781009580694
Librería: CitiRetail, Stevenage, Reino Unido
EUR 68,54
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Añadir al carritoHardcover. Condición: 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.
EUR 99,02
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Añadir al carritoCondición: New. In.
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Añadir al carritoCondición: New.
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Añadir al carritoHardcover. Condición: Brand New. 424 pages. 10.00x7.01x0.50 inches. In Stock.