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Rare event simulation using Monte Carlo methods / (Record no. 523071)

MARC details
000 -LEADER
fixed length control field 05309cam a2200781Ia 4500
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control field ocn648760908
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control field OCoLC
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fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100719s2009 enka ob 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number 2009004186
040 ## -
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-- eng
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-- 719420026
-- 743436878
-- 748591062
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-- 961552365
-- 962619663
-- 966214400
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470745410
Qualifying information (electronic bk.)
International Standard Book Number 047074541X
Qualifying information (electronic bk.)
-- 9780470745403
-- 0470745401
-- 9780470772690
Qualifying information (cloth)
-- 0470772697
Qualifying information (cloth)
024 7# -
-- 10.1002/9780470745403
-- doi
029 1# -
-- AU@
-- 000046311292
-- AU@
-- 000048787868
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-- 000053263660
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035 ## -
-- (OCoLC)648760908
-- (OCoLC)352840673
-- (OCoLC)437111546
-- (OCoLC)476271785
-- (OCoLC)646850524
-- (OCoLC)719420026
-- (OCoLC)743436878
-- (OCoLC)748591062
-- (OCoLC)781262787
-- (OCoLC)961552365
-- (OCoLC)962619663
-- (OCoLC)966214400
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
-- QA273.67
-- .R37 2009eb
072 #7 -
-- MAT
-- 029000
-- bisacsh
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Classification number 519.2
-- 22
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-- MAIN
245 00 - TITLE STATEMENT
Title Rare event simulation using Monte Carlo methods /
Statement of responsibility, etc edited by Gerardo Rubino and Bruno Tuffin.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (viii, 268 pages) :
Other physical details illustrations
505 0# -
Formatted contents note Introduction to rare event simulation / Gerardo Rubino and Bruno Tuffin -- Importance sampling in rare event simulation / Pierre L'Ecuyer, Michel Mandjes and Bruno Tuffin -- Splitting techniques / Pierre L'Ecuyer [and others] -- Robustness properties and confidence interval reliability issues / Peter W. Glynn, Gerardo Rubino and Bruno Tuffin -- Rare event simulation for queues / José Blanchet and Michel Mandjes -- Markovian models for dependability analysis / Gerardo Rubino and Bruno Tuffin -- Rare event analysis by Monte Carlo techniques in static models / Héctor Cancela, Mohamed El Khadiri and Gerardo Rubino -- Rare event simulation and counting problems / José Blanchet and Daniel Rudoy -- Rare event estimation for a large-scale stochastic hybrid system with air traffic application / Henk A.P. Blom, G.J. (Bert) Bakker and Jaroslav Krystul -- Particle transport applications / Thomas Booth -- Rare event simulation methodologies in systems biology / Werner Sandmann.
650 #0 -
Topical term or geographic name as entry element Limit theorems (Probability theory)
Topical term or geographic name as entry element Monte Carlo method.
Topical term or geographic name as entry element System analysis
Topical term or geographic name as entry element Digital computer simulation.
Topical term or geographic name as entry element Digital computer simulation.
Topical term or geographic name as entry element Monte Carlo method.
Topical term or geographic name as entry element System analysis.
Topical term or geographic name as entry element Limit theorems (Probability theory)
Topical term or geographic name as entry element MATHEMATICS
Topical term or geographic name as entry element Digital computer simulation.
Topical term or geographic name as entry element Limit theorems (Probability theory)
Topical term or geographic name as entry element Monte Carlo method.
Topical term or geographic name as entry element System analysis
Topical term or geographic name as entry element Große Abweichung
Topical term or geographic name as entry element Simulation
Topical term or geographic name as entry element Seltenes Ereignis
700 1# -
Personal name Rubino, Gerardo,
Personal name Tuffin, Bruno.
856 40 -
Uniform Resource Identifier https://doi.org/10.1002/9780470745403
264 #1 -
-- Chichester, U.K. :
-- Wiley,
-- 2009.
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-- text
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
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-- Includes bibliographical references and index.
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-- Print version record.
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-- In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication network of a group of banks, leading to financial losses. Being able to evaluate the probability of rare events is therefore a critical issue. Monte Carlo Methods, the simulation of corresponding models, are used to analyze rare events. This book sets out to present the mathematical tools available for the efficient simulation of rare events. Importance sampling and splitting are presented along with an exposition of how to apply these tools to a variety of fields ranging from performance and dependability evaluation of complex systems, typically in computer science or in telecommunications, to chemical reaction analysis in biology or particle transport in physics. Graduate students, researchers and practitioners who wish to learn and apply rare event simulation techniques will find this book beneficial.
-- Data processing.
-- Probability & Statistics
-- General.
-- bisacsh
-- fast
-- (OCoLC)fst00893651
-- fast
-- (OCoLC)fst00998881
-- fast
-- (OCoLC)fst01025819
-- Data processing.
-- fast
-- (OCoLC)fst01141391
-- gnd
-- gnd
-- gnd
655 #4 -
-- Electronic books.
-- Electronic books.
-- local
700 1# -
-- 1955-
776 08 -
-- Print version:
-- Rare event simulation using Monte Carlo methods.
-- Chichester, U.K. : Wiley, 2009
-- 9780470772690
-- (DLC) 2009004186
-- (OCoLC)246887488
856 40 -
-- Wiley Online Library
994 ## -
-- 92
-- DG1
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Total Checkouts Barcode Date last seen Koha item type
      Mysore University Main Library Mysore University Main Library 09/07/2020   EBJW1100 09/07/2020 Ebooks

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