£62.18

Springer Theory of Probability and Random Processes Book

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£64.61 £33.35 £40.17 £46.99 £53.81 £60.63 £67.45 22 May 2026 13 June 2026 06 July 2026 28 July 2026 20 August 2026

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23 days 5 days 3 days 5 days 55 days · current 0 14 28 41 55 £36-42 £42-48 £48-53 £53-59 £59-65 Days at Price

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Description

Master the fundamentals of probability with this comprehensive text from Springer. Based on a one-year course taught at Princeton University, this book serves as a complete resource for both undergraduate and graduate students seeking a deep understanding of mathematical theory. This volume provides a self-contained exposition of classical probability theory and the study of random processes. It is designed to guide learners through complex mathematical concepts with clarity, making it an essential addition to any academic library or personal collection focused on applied mathematics. Whether you are studying for advanced degrees or researching mathematical models, this book covers the essential frameworks required for modern scientific study. From the foundations of Lebesgue integration to the complexities of stationary random processes, this text offers the depth needed for rigorous academic success.

Key Features

Based on a professional one-year course taught at Princeton University to undergraduate and graduate students.

Provides a self-contained and comprehensive exposition of classical probability theory and random processes.

Includes detailed discussions on Lebesgue integration, Markov chains, and random walks.

Covers essential mathematical topics such as laws of large numbers and limit theorems.

Explores the relationship between probability theory and Renormalization Group theory.

Includes advanced study of martingales, stationary random processes, and generalized random processes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 August 2007
Listed Since
23 January 2007

Barcode

No barcode data available

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