ISBN: 9780486458670 - probability theory (dover books on mathematics) (22 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware - This introductory text features well-chosen problems and exercises that illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. Prerequisites include knowledge of differential and integral calculus as well as the theory of real and complex functions. An extensive appendix introduces information theory. 1970 edition.…

Zustand: New. &Uumlber den AutorrnrnAlfred Renyi: The Happy MathematiciannAlfred Renyi (1921-1970) was one of the giants of twentieth-century mathematics who, during his relatively short life, made major contributions to combinatorics, graph theory, number t.

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Paperback. Zustand: new. Paperback. The founder of Hungary's Probability Theory School, A. Renyi made significant contributions to virtually every area of mathematics. This introductory text is the product of his extensive teaching experience and is geared toward readers who wish to learn the basics of probability theory, as well as those who wish to attain a thorough knowledge in the field.Based on the author's lectures at the University of Budapest, this text requires no preliminary knowledge of probability theory. Readers should, however, be familiar with other branches of mathematics, including a thorough understanding of the elements of the differential and integral calculus and the theory of real and complex functions. These well-chosen problems and exercises illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. The text concludes with an extensive appendix that introduces information theory. This introductory text features well-chosen problems and exercises that illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. Prerequisites include knowledge of differential and integral calculus as well as the theory of real and complex functions. An extensive appendix introduces information theory. 1970 edition. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Zustand: new. Paperback. The founder of Hungary's Probability Theory School, A. Renyi made significant contributions to virtually every area of mathematics. This introductory text is the product of his extensive teaching experience and is geared toward readers who wish to learn the basics of probability theory, as well as those who wish to attain a thorough knowledge in the field.Based on the author's lectures at the University of Budapest, this text requires no preliminary knowledge of probability theory. Readers should, however, be familiar with other branches of mathematics, including a thorough understanding of the elements of the differential and integral calculus and the theory of real and complex functions. These well-chosen problems and exercises illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. The text concludes with an extensive appendix that introduces information theory. This introductory text features well-chosen problems and exercises that illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. Prerequisites include knowledge of differential and integral calculus as well as the theory of real and complex functions. An extensive appendix introduces information theory. 1970 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. Zustand: new. Paperback. The founder of Hungary's Probability Theory School, A. Renyi made significant contributions to virtually every area of mathematics. This introductory text is the product of his extensive teaching experience and is geared toward readers who wish to learn the basics of probability theory, as well as those who wish to attain a thorough knowledge in the field.Based on the author's lectures at the University of Budapest, this text requires no preliminary knowledge of probability theory. Readers should, however, be familiar with other branches of mathematics, including a thorough understanding of the elements of the differential and integral calculus and the theory of real and complex functions. These well-chosen problems and exercises illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. The text concludes with an extensive appendix that introduces information theory. This introductory text features well-chosen problems and exercises that illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. Prerequisites include knowledge of differential and integral calculus as well as the theory of real and complex functions. An extensive appendix introduces information theory. 1970 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.…