Extreme Values, Regular Variation, and Point Processes

Resnick, Sidney I.

ISBN 10: 0387759522 / ISBN 13: 9780387759524

Published by Springer Publishing Company, U. S. A, 2008

About this Item

Minor handling wear eg slight bumping to spine and edges of front cover. ; A rigorous and authoritative text that explores the mathematical foundations of extreme value theory, regular variation, and the use of point processes in probability and statistics. Widely regarded as a standard reference, it combines theory with applications, making it essential for researchers and advanced students in applied probability, statistics, and related fields. ; 16.8x24.4x3.9cm; xiv,320 pages.

Seller Inventory # LCB64568

Bibliographic Details

• Title: Extreme Values, Regular Variation, and Point Processes
• Publisher: Springer Publishing Company, U. S. A
• Publication Date: 2008
• Language: English
• ISBN 10: 0387759522
• ISBN 13: 9780387759524
• Binding: Softcover
• Edition: First Edition (?); First Impression.
• Condition: Near Fine
• Dust Jacket Condition: No Dust Jacket

About this title

Synopsis

This book examines the fundamental mathematical and stochastic process techniques needed to study the behavior of extreme values of phenomena based on independent and identically distributed random variables and vectors. It emphasizes the core primacy of three topics necessary for understanding extremes: the analytical theory of regularly varying functions; the probabilistic theory of point processes and random measures; and the link to asymptotic distribution approximations provided by the theory of weak convergence of probability measures in metric spaces.

From the Back Cover

Extremes Values, Regular Variation and Point Processes is a readable and efficient account of the fundamental mathematical and stochastic process techniques needed to study the behavior of extreme values of phenomena based on independent and identically distributed random variables and vectors. It presents a coherent treatment of the distributional and sample path fundamental properties of extremes and records. It emphasizes the core primacy of three topics necessary for understanding extremes: the analytical theory of regularly varying functions; the probabilistic theory of point processes and random measures; and the link to asymptotic distribution approximations provided by the theory of weak convergence of probability measures in metric spaces.

The book is self-contained and requires an introductory measure-theoretic course in probability as a prerequisite. Almost all sections have an extensive list of exercises which extend developments in the text, offer alternate approaches, test mastery and provide for enjoyable muscle flexing by a reader. The material is aimed at students and researchers in probability, statistics, financial engineering, mathematics, operations research, civil engineering and economics who need to know about:

* asymptotic methods for extremes;

* models for records and record frequencies;

* stochastic process and point process methods and their applications to obtaining distributional approximations;

* pervasive applications of the theory of regular variation in probability theory, statistics and financial engineering.

"This book is written in a very lucid way. The style is sober, the mathematics tone is pleasantly conversational, convincing and enthusiastic. A beautiful book!"

---Bulletin of the Dutch Mathematical Society

"This monograph is written in a very attractive style. It contains a lot of complementary exercises and practically all important bibliographical reference."

---Revue Roumaine de Mathématiques Pures et Appliquées