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Cambridge University Press Asymptotic Analysis of Random Walks: Light-Tailed Distributions

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Description

This comprehensive volume from Cambridge University Press provides a systematic exposition of asymptotic analysis for random walks with light-tailed distributions, serving as a companion to the heavy-tailed distributions edition. Designed for academic researchers and professionals working in probability, statistics, ruin theory, and queuing theory, this book presents foundational theory and practical applications. The text covers the large deviation principle for random walks, originally established by the author in 1967 under conditions of exponentially decaying distribution tails. As part of the Encyclopedia of Mathematics and its Applications series (number 176), this self-contained resource combines rigorous mathematical treatment with accessibility for advanced study and professional reference in probability theory and its applications.

Key Features

Part of the Encyclopedia of Mathematics and its Applications series, providing authoritative treatment of asymptotic analysis for light-tailed random walks.

Self-contained systematic exposition suitable for academic researchers and professionals applying probability theory to statistics and quantitative fields.

Companion volume to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions, extending coverage to complementary distribution classes.

Covers the large deviation principle for random walks with exponentially decaying distribution tails, grounded in established probability theory.

Addresses applications in ruin theory and queuing theory, connecting theoretical analysis to practical problems in insurance and operations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 October 2020
Listed Since
08 February 2020

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