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1. |
Record Nr. |
UNISA990001198100203316 |
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Autore |
ROUSSELLE, Serge |
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Titolo |
La preuve / Serge Rousselle |
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Pubbl/distr/stampa |
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[s.l.] : Les Éditions Yvon Blais, copyr. 1997 |
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Bruxelles : Bruylant, copyr. 1997 |
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ISBN |
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Descrizione fisica |
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Collana |
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La common law en poche ; 4 |
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Disciplina |
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Soggetti |
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Diritto anglosassone - Storia |
Processo civile <Prova> |
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Collocazione |
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XXIII.4. Coll. 19/ 4 (IG XXI 647/4) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sul front. : Centre international de la common law en français, École de droit, Université de Moncton |
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2. |
Record Nr. |
UNINA9910158784703321 |
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Autore |
Howard Richard A. |
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Titolo |
Sun, sand and survival : an analysis of survival experiences in desert areas / / by Richard A. Howard |
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Pubbl/distr/stampa |
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[Place of publication not identified] : , : Pickle Partners Publishing, , 2015 |
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©1953 |
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ISBN |
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Descrizione fisica |
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1 online resource (70 pages) |
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Disciplina |
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Soggetti |
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Deserts |
Survival |
Shipwreck survival |
Survival at sea |
Airplane crash survival |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910817556003321 |
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Titolo |
Rare event simulation using Monte Carlo methods / / edited by Gerardo Rubino and Bruno Tuffin |
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Pubbl/distr/stampa |
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Chichester, U.K., : Wiley, 2009 |
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ISBN |
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9786612123641 |
9781282123649 |
1282123645 |
9780470745403 |
0470745401 |
9780470745410 |
047074541X |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (280 p.) |
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Altri autori (Persone) |
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RubinoGerardo <1955-> |
TuffinBruno |
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Disciplina |
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Soggetti |
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Limit theorems (Probability theory) |
Monte Carlo method |
System analysis - Data processing |
Digital computer simulation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Rare Event Simulation using Monte Carlo Methods; Contents; Contributors; Preface; 1 Introduction to Rare Event Simulation; PART I THEORY; 2 Importance Sampling in Rare Event Simulation; 3 Splitting Techniques; 4 Robustness Properties and Con.dence Interval Reliability Issues; PART II APPLICATIONS; 5 Rare Event Simulation for Queues; 6 Markovian Models for Dependability Analysis; 7 Rare Event Analysis by Monte Carlo Techniques in Static Models; 8 Rare Event Simulation and Counting Problems; 9 Rare Event Estimation for a Large-Scale Stochastic Hybrid System with Air Traffic Application |
10 Particle Transport Applications11 Rare Event Simulation Methodologies in Systems Biology; Index |
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Sommario/riassunto |
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In a probabilistic model, a rare event is an event with a very small |
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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 s |
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