Part II of our DecisionTools Suite training consists of two 4-hour sessions spread over 2 days. Materials presented in Part II build upon those presented in Part I. Therefore, it is highly recommended that registrants have completed the Part I course or demonstrate a strong working knowledge and experience with the DecisionTools Suite.

Refining the model:

Correlation and Interdependence

1. Correlating Risk Inputs
1. Impact
2. Simple Calculation Example
2. Correlation Methodology
1. Pearson
2. Rank
3. Application
3. Time Dependent Risk
1. Impact
2. Application
3. Time Series Correlation

Selecting Distributions

1. Introduction
2. Expanded Distribution Selection
1. Bootstrap Method
3. Distribution Fitting
1. Interface
2. Fit Manager
3. Linking Data
4. Expert Opinion
1. Alternate Parameters
2. Judgment and Bias
5. @RISK Library

Evolving An Optimal Solution

            Using RISKOptimizer

1. Introduction to optimization
1. Genetic algorithm
2. Adjustable cells
3. Variables
4. Constraints
5. Solving methods
6. Reports and solution
2. Application to case study
3. Assessing variation of optimal solution
1. Applying @RISK to optimized results
2. Analysis of simulation
3. Reporting capabilities revisited

Additional Features

1. Multiple simulations (@RISK)
1. Simtable
2. Scenarios
2. Advanced Analyses (@RISK)
1. Stress
2. Advanced Sensitivity
3. Other Solving methods (RISKO)
4. Influence Diagrams (PTree)
5. Simulating decision trees (PTree & @RISK)

Predicting Outcomes

            Using NeuralTools

1. Defining a model
2. Train
3. Test
4. Predict

Review of Additional Example Models

» Palisade Corporation
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