Essentials of Monte Carlo Simulation : Statistical Methods for Building Simulation Models
Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs usi...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2013. |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
L'impression du document génère 183 p. Date de publication et éditeur d après le site du fournisseur Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Essentials of Monte Carlo simulation, statistical methods for building simulation models, Nick T. Thomopoulos, New York, Springer, 2013, 1 vol. (XVIII- 171 p.), 978-1-461-46021-3 |
Indholdsfortegnelse:
- 1 Introduction
- 2 Random Number Generators
- 3 Generating Random Variates
- 4 Generating Continuous Random Variates
- 5 Generating Discrete Random Variates
- 6 Generating Multivariate Random Variates
- 7 Special Applications
- 8 Output from Simulation Runs
- 9 Analysis of Output Data
- 10 Choosing the Probability Distribution from Data
- 11 Choosing the Probability Distribution When No Data