• Robust Simulation For Mega Risks

Robust Simulation For Mega Risks

Robust Simulation For Mega Risks

( from 245 reviews )
  • Author
    Craig E Taylor
  • Publisher
    Springer
  • Publication date
    11 November 2015

UNLIMITED BOOKS, ALL IN ONE PLACE. FREE TO TRY 30 DAYS. SUBSCRIBE TO READ OR DOWNLOAD EBOOK FOR FREE. START YOUR FREE MONTH NOW!

eBook includes PDF, ePub, Mobi, Tuebl and Kindle version
FREE registration for 1 month TRIAL Account. DOWNLOAD as many books as you like (Personal use). CANCEL the membership at ANY TIME if not satisfied. Join Over 550.000 Happy Readers.

All secure, we guaranted 100% privacy and your information is safe
Recent Activity
Loading...

Loading ...

Loading...

Book Detail

  • Book Title

    Robust Simulation For Mega Risks

  • Author

    Craig E Taylor

  • Date Published

    11 November 2015

  • Publisher

    Springer

  • Pages

    164 pages

  • ISBN

    9783319194134

Book Description

This book introduces a new way of analyzing, measuring and thinking about mega-risks, a “paradigm shift” that moves from single-solutions to multiple competitive solutions and strategies. “Robust simulation” is a statistical approach that demonstrates future risk through simulation of a suite of possible answers. To arrive at this point, the book systematically walks through the historical statistical methods for evaluating risks. The first chapters deal with three theories of probability and statistics that have been dominant in the 20th century, along with key mathematical issues and dilemmas. The book then introduces “robust simulation” which solves the problem of measuring the stability of simulated losses, incorporates outliers, and simulates future risk through a suite of possible answers and stochastic modeling of unknown variables. This book discusses various analytical methods for utilizing divergent solutions in making pragmatic financial and risk-mitigation decisions. The book emphasizes the importance of flexibility and attempts to demonstrate that alternative credible approaches are helpful and required in understanding a great many phenomena.

© euro-book.net 2021

1108 Members Online