Simulation de Monte Carlo Excel

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation
by Carl Graham and Denis Talay
English | 2013 | ISBN: 3642393624 | 264 pages | PDF | 2.07 MB

Udemy - R Programming for Simulation and Monte Carlo Methods [repost]  eBooks & eLearning

Posted by house23 at Nov. 10, 2016
Udemy - R Programming for Simulation and Monte Carlo Methods [repost]

Udemy - R Programming for Simulation and Monte Carlo Methods
MP4 | AVC 928kbps | English | 1280x720 | 30fps | 11h 42mins | AAC stereo 60kbps | 3.79 GB
Genre: Video Training

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

Méthodes de Monte-Carlo avec R (repost)  eBooks & eLearning

Posted by arundhati at May 18, 2016
Méthodes de Monte-Carlo avec R (repost)

Christian Robert, Georges Casella, "Méthodes de Monte-Carlo avec R"
2011 | French | ISBN: 2817801806 | 272 pages | PDF | 9 MB
Mean Field Simulation for Monte Carlo Integration (repost)

Mean Field Simulation for Monte Carlo Integration by Pierre Del Moral
English | 2013 | ISBN: 1466504056 | 626 pages | PDF | 3,2 MB
Udemy – R Programming for Simulation and Monte Carlo Methods

Udemy – R Programming for Simulation and Monte Carlo Methods
MP4 | Video: 1280x720 | 62 kbps | 44 KHz | Duration: 12 Hours | 3.79 GB
Genre: eLearning | Language: English

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

Rare Event Simulation Using Monte Carlo Methods  

Posted by arundhati at Dec. 6, 2014
Rare Event Simulation Using Monte Carlo Methods

Gerardo Rubino, Bruno Tuffin, "Rare Event Simulation Using Monte Carlo Methods"
2009 | ISBN-10: 0470772697 | 278 pages | PDF | 2 MB
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation by Carl Graham and Denis Talay
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 2 MB

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems.
Simulation and Monte Carlo: With applications in finance and MCMC by J. S. Dagpunar

Simulation and Monte Carlo: With applications in finance and MCMC (Wiley Series in Probability and Statistics) by J. S. Dagpunar
Wiley | March 12, 2007 | English | ISBN: 0470854944 | 348 pages | PDF | 3 MB

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational Research, Computer Science, and allied subjects, who wish an up-to-date account of the theory and practice of Simulation. Its distinguishing features are in-depth accounts of the theory of Simulation, including the important topic of variance reduction techniques, together with illustrative applications in Financial Mathematics, Markov chain Monte Carlo, and Discrete Event Simulation.
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation by Carl Graham and Denis Talay
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 2 MB

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems.
Christian Robert, Georges Casella, "Méthodes de Monte-Carlo avec R" (repost)

Christian Robert, Georges Casella, "Méthodes de Monte-Carlo avec R"
Publisher: Springer | 2011 | ISBN: 2817801806 | French | PDF | 272 pages | 9.1 Mb

Les techniques informatiques de simulation sont essentielles au statisticien. Afin que celui-ci puisse les utiliser en vue de résoudre des problèmes statistiques, il lui faut au préalable développer son intuition et sa capacité à produire lui-même des modèles de simulation. Ce livre adopte donc le point de vue du programmeur pour exposer ces outils fondamentaux de simulation stochastique. …