Vose's Risk Analysis 2nd Edition by GAUSS

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.


This is a GAUSS version of its "complete" programming guide. Buy and read the textbook above along with this guide.

by Yosuke Amijima

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