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INTRODUCTION TO RARE EVENT SIMULATION (SPRINGER SERIES IN By James Bucklew *NEW* - James A. Bucklew
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This book is an attempt to present a unified theory of rare event simulation and the variance reduction technique known as importance sampling from the point of view of the probabilistic … Plus…

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Introduction to Rare Event Simulation by James Bucklew Hardcover | Indigo Chapters

This book presents a unified theory of rare event simulation and the variance reduction technique known as importance sampling from the point of view of the probabilistic theory of large deviations. It allows us to view a vast assortment of simulation problems from a unified single perspective.

Informations détaillées sur le livre - Introduction to Rare Event Simulation by James Bucklew Hardcover | Indigo Chapters


EAN (ISBN-13): 9780387200781
ISBN (ISBN-10): 0387200789
Version reliée
Date de parution: 2004
Editeur: James Bucklew
260 Pages
Poids: 0,499 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-06-13T10:02:14+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-01-11T11:34:29+01:00 (Paris)
ISBN/EAN: 9780387200781

ISBN - Autres types d'écriture:
0-387-20078-9, 978-0-387-20078-1
Autres types d'écriture et termes associés:
Auteur du livre: antonio, buckle, springer, james madison
Titre du livre: springer series, introduction, simulation, event one


Données de l'éditeur

Auteur: James Bucklew
Titre: Springer Series in Statistics; Introduction to Rare Event Simulation
Editeur: Springer; Springer US
268 Pages
Date de parution: 2004-03-11
New York; NY; US
Langue: Anglais
131,99 € (DE)

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Estimator; Probability theory; Simulation; Variance; calculus; communication; statistics; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Computer Modelling; Probability Theory; Computer Communication Networks; Operations Research, Management Science; Mathematical and Computational Engineering Applications; Computermodellierung und -simulation; Stochastik; Netzwerk-Hardware; Unternehmensforschung; Mathematik für Ingenieure; BC

1. Random Number Generation.- 2. Stochastic Models.- 3. Large Deviation Theory.- 4. Importance Sampling.- 5. The Large Deviation Theory of Importance Sampling Estimators.- 6. Variance Rate Theory of Conditional Importance Sampling Estimators.- 7. The Large Deviations of Bias Point Selection.- 8. Chernoff’s Bound and Asymptotic Expansions.- 9. Gaussian Systems.- 10. Universal Simulation Distributions.- 11. Rare Event Simulation for Level Crossing and Queueing Models.- 12. Blind Simulation.- 13. The (Over-Under) Biasing Problem in Importance Sampling.- 14. Tools and Techniques for Importance Sampling.- A. Convex Functions and Analysis.- B. A Covering Lemma.- C. Pseudo-Random Number Generator Programs.- References.

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