R Programming For Simulation And Monte Carlo Methods

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.
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.
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
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.
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.
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation [Repost]

Carl Graham, ‎Denis Talay - Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation
Published: 2013-07-29 | ISBN: 3642393624 | PDF | 264 pages | 3 MB
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation

Carl Graham, Denis Talay, "Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation"
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 3 MB

Randomization, Bootstrap and Monte Carlo Methods in Biology (3rd edition) (Repost)  eBooks & eLearning

Posted by happy4all at March 9, 2016
Randomization, Bootstrap and Monte Carlo Methods in Biology (3rd edition) (Repost)

Randomization, Bootstrap and Monte Carlo Methods in Biology (3rd edition) By Bryan F.J. Manly
2006 | 453 Pages | ISBN: 1584885416 | PDF + DJVU | 41 MB + 20 MB
Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition

Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition (Texts in Statistical Science Series) by Bryan F.J. Manly
2006 | ISBN: 1584885416 | English | 480 pages | DjVu | 20 MB
Random Number Generation and Monte Carlo Methods (Statistics and Computing) (Repost)

Random Number Generation and Monte Carlo Methods (Statistics and Computing) By James E. Gentle
1998 | 247 Pages | ISBN: 0387985220 , 0387001786 | PDF | 6 MB