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Springer Foundations of Modern Probability Textbook

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Description

Foundations of Modern Probability (Probability and Its Applications) from Springer serves as a highly-praised standard reference for probability theory. This updated single volume builds upon the successful first edition, offering revised and corrected chapters to ensure accuracy for students and researchers. This edition provides expanded coverage with four new chapters. Readers can explore advanced topics including multivariate and ratio ergodic theorems, shift coupling, Palm distributions, Harris recurrence, invariant measures, and both strong and weak ergodicity. It is an essential resource for those studying applied mathematics and the theoretical foundations of probability.

Key Features

This Springer publication serves as a standard reference for many different areas of probability theory.

The updated edition includes four new chapters covering advanced mathematical topics.

New material features multivariate and ratio ergodic theorems for deeper theoretical study.

Content includes specialized subjects such as shift coupling and Palm distributions.

The text covers Harris recurrence, invariant measures, and both strong and weak ergodicity.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 December 2010
Listed Since
14 June 2010

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