Isbn: 9780486488158 - integration, measure and probability (dover books on mathema 1.4tics) (15 resultados)

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Paperback. Condición: new. Paperback. This text provides undergraduate mathematics students with an introduction to the modern theory of probability as well as the roots of the theory's mathematical ideas and techniques. Centered around the concept of measure and integration, the treatment is applicable to other branches of analysis and explores more specialized topics, including convergence theorems and random sequences and functions.The initial part is devoted to an exploration of measure and integration from first principles, including sets and set functions, general theory, and integrals of functions of real variables. These topics provide tools for use in the second part, which emphasizes underlying mathematical ideas, including the roles of random variables and limit processes in probability. The concise format and exposition offer an ideal review of the subject for students with some background in probability. Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics include convergence theorems and random sequences and functions. 1963 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Taschenbuch. Condición: Neu. Neuware - Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics include convergence theorems and random sequences and functions. 1963 edition.

Condición: New. &Uumlber den AutorH. R. Pitt (1914-2005) was Professor of Pure Mathematics in the University of Nottingham, United Kingdom.InhaltsverzeichnisrnrnPrefacen Part 1n 1. Sets and Set-Functionsn 2. General Theory of Int.

paperback. Condición: New. In shrink wrap. Looks like an interesting title.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condición: new. Paperback. This text provides undergraduate mathematics students with an introduction to the modern theory of probability as well as the roots of the theory's mathematical ideas and techniques. Centered around the concept of measure and integration, the treatment is applicable to other branches of analysis and explores more specialized topics, including convergence theorems and random sequences and functions.The initial part is devoted to an exploration of measure and integration from first principles, including sets and set functions, general theory, and integrals of functions of real variables. These topics provide tools for use in the second part, which emphasizes underlying mathematical ideas, including the roles of random variables and limit processes in probability. The concise format and exposition offer an ideal review of the subject for students with some background in probability. Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics include convergence theorems and random sequences and functions. 1963 edition. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: new. Paperback. This text provides undergraduate mathematics students with an introduction to the modern theory of probability as well as the roots of the theory's mathematical ideas and techniques. Centered around the concept of measure and integration, the treatment is applicable to other branches of analysis and explores more specialized topics, including convergence theorems and random sequences and functions.The initial part is devoted to an exploration of measure and integration from first principles, including sets and set functions, general theory, and integrals of functions of real variables. These topics provide tools for use in the second part, which emphasizes underlying mathematical ideas, including the roles of random variables and limit processes in probability. The concise format and exposition offer an ideal review of the subject for students with some background in probability. Introductory treatment develops the theory of integration in a general context, making it applicable to other branches of analysis. More specialized topics include convergence theorems and random sequences and functions. 1963 edition. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…