Probability theory
Material type:
TextLanguage: ENGLISH Publication details: New York : Dover Publications, 2007. Description: 666p. PbkISBN: 9780486458670DDC classification: 519.2, 23 Summary: The founder of Hungary's Probability Theory School, A. Rényi 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.
Reprint of the North-Holland Publishing Company, Amsterdam, 1970 edition.
| Item type | Current library | Call number | Status | Date due | Barcode |
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NISER LIBRARY General Stacks | 519.2, 23 REN-P (Browse shelf(Opens below)) | Available | 25289 |
The founder of Hungary's Probability Theory School, A. Rényi 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.
Reprint of the North-Holland Publishing Company, Amsterdam, 1970 edition.
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