Monte Carlo Risk Analysis

Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear  eBooks & eLearning

Posted by roxul at Dec. 8, 2016
Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear

Emmanuel Gobet, "Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear"
English | ISBN: 1498746225 | 2016 | 336 pages | EPUB | 25 MB
Monte Carlo Frameworks: Building Customisable High-performance C++ Applications (repost)

Monte Carlo Frameworks: Building Customisable High-performance C++ Applications
by Daniel J. Duffy, Joerg Kienitz
English | 2009 | ISBN: 0470060697 | 775 pages | PDF | 3.73 MB
Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics

Paolo Brandimarte, "Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics"
English | ISBN: 0470531118 | 2014 | EPUB | 688 pages | 15,7 MB

Udemy – R Programming for Simulation and Monte Carlo Methods  eBooks & eLearning

Posted by naag at Sept. 18, 2015
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.
Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques (repost)

Johnathan Mun, "Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques (2nd Edition)"
2010 | ISBN: 0470592214, 0470619996 | 986 pages | PDF | 26 MB

Simulation and the Monte Carlo Method (2nd Edition)  eBooks & eLearning

Posted by arundhati at Jan. 13, 2015
Simulation and the Monte Carlo Method (2nd Edition)

Reuven Y. Rubinstein, Dirk P. Kroese, "Simulation and the Monte Carlo Method (2nd Edition)"
2008 | ISBN-10: 0470177942 | 372 pages | PDF | 8 MB
The Monte Carlo Simulation Method for System Reliability and Risk Analysis (repost)

The Monte Carlo Simulation Method for System Reliability and Risk Analysis by Enrico Zio
English | 2013 | ISBN-10: 1447145879 | 212 pages | PDF | 4,5 MB

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering.
Safety, Reliability and Risk Analysis: Theory, Methods and Applications (4 Vol. set) (repost)

Safety, Reliability and Risk Analysis: Theory, Methods and Applications (4 Vol. set) by Sebastián Martorell, Carlos Guedes Soares and Julie Barnett
English | 2009 | ISBN: 0415485134 | 3510 pages | PDF | 39,3 MB

Safety, Reliability and Risk Analysis. Theory, Methods and Applications contains the papers presented at the joint ESREL (European Safety and Reliability) and SRA-Europe (Society for Risk Analysis Europe) Conference (Valencia, Spain, 22-25 September 2008).
Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics

Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics by Paolo Brandimarte
English | 2014 | ISBN: 0470531118 | ISBN-13: 9780470531112 | 688 pages | PDF | 29,3 MB

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics.
Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics.
The Monte Carlo Simulation Method for System Reliability and Risk Analysis (repost)

The Monte Carlo Simulation Method for System Reliability and Risk Analysis by Enrico Zio
English | 2013 | ISBN-10: 1447145879 | 212 pages | PDF | 4,5 MB

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering.