ISBN: 9783031882678 - the probabilistic vision of the physical world: a point of view of earth sciences (lecture notes in geosystems mathematics and computing) (9 resultados)

Condición: New. 2025. paperback. . . . . .

Taschenbuch. Condición: Neu. The Probabilistic Vision of the Physical World | A Point of View of Earth Sciences | Fernando Sansò (u. a.) | Taschenbuch | Lecture Notes in Geosystems Mathematics and Computing | xii | Englisch | 2025 | Springer | EAN 9783031882678 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact. It explores the connection between statistics and probability theory, emphasizing the importance of these tools in understanding the physical world. The first chapter addresses the frequency-probability antinomy, while the second chapter discusses the sources of randomness in modelling. Chapters 3 and 4 delve into statistical inference, covering estimation theory and testing theory. Chapter 5 examines the relationship between discrete-finite models and continuous-infinite dimensional models, particularly random fields, making the concepts accessible to geodesists and geophysicists. Chapter 6 explores modern machine learning and deep learning, highlighting their roots in traditional statistical methods and neural networks. The book concludes with a caution against relying solely on empirical evidence and 'black box' algorithms, advocating for the integration of physical laws with empirical models to advance understanding of the physical world.The book is primarily intended for graduate students and researchers in the field of earth sciences with a basic background in probability theory and statistics.…

Condición: New.

Paperback. Condición: Brand New. 151 pages. 9.25x6.10x9.21 inches. In Stock.

Condición: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact. It explores the connection between statistics and probability theory, emphasizing the importance of these tools in understanding the physical world. The first chapter addresses the frequency-probability antinomy, while the second chapter discusses the sources of randomness in modelling. Chapters 3 and 4 delve into statistical inference, covering estimation theory and testing theory. Chapter 5 examines the relationship between discrete-finite models and continuous-infinite dimensional models, particularly random fields, making the concepts accessible to geodesists and geophysicists. Chapter 6 explores modern machine learning and deep learning, highlighting their roots in traditional statistical methods and neural networks. The book concludes with a caution against relying solely on empirical evidence and 'black box' algorithms, advocating for the integration of physical laws with empirical models to advance understanding of the physical world.The book is primarily intended for graduate students and researchers in the field of earth sciences with a basic background in probability theory and statistics. 139 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact. It explores the connection between statistics and probability theory, emphasizing the importance of these tools in understanding the physical world. The first chapter addresses the frequency-probability antinomy, while the second chapter discusses the sources of randomness in modelling. Chapters 3 and 4 delve into statistical inference, covering estimation theory and testing theory. Chapter 5 examines the relationship between discrete-finite models and continuous-infinite dimensional models, particularly random fields, making the concepts accessible to geodesists and geophysicists. Chapter 6 explores modern machine learning and deep learning, highlighting their roots in traditional statistical methods and neural networks. The book concludes with a caution against relying solely on empirical evidence and 'black box' algorithms, advocating for the integration of physical laws with empirical models to advance understanding of the physical world.The book is primarily intended for graduate students and researchers in the field of earth sciences with a basic background in probability theory and statistics.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 152 pp. Englisch.…