2. Quantitative Risk Analysis, Uncertainty and Variability.
3. Probability Theory and Statistics.
4.How Monte Carlo Simulation Works.
5.Stochastic Processes.
6.Probability Distributions.
Random numbers:
Shape:
Approximation:
Recurrence Formula:
7.Quantifying Uncertainty about Model Parameters.
8.Building a Risk Analysis Model.
9.Determining Distributions of Variability from Data.
10.Defining Distributions from Expert Opinion.
11.Modelling Dependencies.
12.Time Series Projections.
13.Project Risk Analysis.
14.Animal Import and Food Safety Risk Assessment.
15.Presenting and Interpreting Risk Analysis Results.
David Vose "Risk Analysis: A Quantitative Guide" 2nd Edition, John Wiley & Sons 2000 ISBN: 047199765X .
Its Japanese translation 2003, ISBN: 432650241X .
This is a GAUSS version of its "complete" programming guide. Buy and read the textbook above along with this guide.
by Yosuke Amijima