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Probability

Media-Kombination
XXVII, 834 Seiten
2019 | 3. Third Edition 2019
Springer International Publishing
978-3-030-20577-5 (ISBN)
CHF 149,75 inkl. MwSt
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This two-volume textbook set presents a systematic treatment of probability from the ground up. It begins with intuitive ideas and gradually develops more sophisticated subjects, such as random walks, martingales, Markov chains, the measure-theoretic foundations of probability theory, weak convergence of probability measures, and the central limit theorem. Numerous detailed examples and exercises are provided throughout. In addition to the thorough presentation of probability, a historical exposition is presented that documents how the mathematical theory of probability has developed.
The two volumes that compose this set together constitute the third English edition of the author's classic, Probability. The first volume is particularly suitable for a graduate course on probability aimed at mathematics, statistics, or engineering students, and the second volume would be ideal for a graduate course on random process.

Albert N. Shiryaev is Chief Scientific Researcher and Professor of Probability Theory and Mathematical Statistics at the Steklov Mathematical Institute of the Russian Academy of Sciences and Head of the Department of Probability Theory in the Mechanics and Mathematics Faculty at Lomonosov Moscow State University. He is the author of several books, including Problems in Probability [translated by Andrew Lyasov], Optimal Stopping Rules [translated by A.B. Aries], and Statistics of Random Processes [with Robert S. Liptser]. He was the recipient of the A.N. Kolmogorov Prize of the Russian Academy of Sciences in 1994 and the A.A. Markov Prize in 1974.

Probability-1.- Probability-2.

Erscheint lt. Verlag 13.4.2019
Zusatzinfo XXVII, 834 p. 2 volume-set.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Discrete time processes • probability textbook • Probability Theory • random processes • random processes textbook • random sequences
ISBN-10 3-030-20577-0 / 3030205770
ISBN-13 978-3-030-20577-5 / 9783030205775
Zustand Neuware
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