Skip to content

Risk & uncertainty

From its inception, Analytica was designed to analyze risk and uncertainty — unlike spreadsheet applications which require special add-ins. Analytica’s fully integrated features for sensitivity analysis, scenario analysis and Monte Carlo simulation make it remarkably simple to treat risk and uncertainty in your models. Here are some examples of how organizations are using these methods.

Flood risk management in Ho Chi Minh city

After a devastating flood in Ho Chi Minh City, the World Bank used Analytica to develop a robust strategy to help the city manage and reduce risks of future flooding.

Earthquake insurance: cost-effective modeling

An analysis of earthquake scenarios and insurance rates helped a San Francisco county optimize insurance premiums and move toward a long-term risk management strategy.

Integrated assessment of climate change

The Integrated Climate Assessment Model (ICAM) has generated a wide range of valuable insights into how to adapt to global climate change.

Is the Fermi Paradox due to the Flaw of Averages?

Why haven't we not encounter aliens? How to resolve this paradox by treating the parameters of the Drake Equation as uncertain -- an example of Sam Savage's Flaw of Averages.
Sampling Method - Average error unsmoothed

Pi Day comparison: Monte Carlo vs Latin hypercube vs Sobol sampling

This blog will be visiting the dart-throwing method of estimating π and comparing how fast or slow different sampling techniques converge to the actual value of π. The sampling techniques…

Book review: decision making under uncertainty

This just-released Spanish-language textbook from Professor Jorge E Muro Arbulú has now taken its spot as my favorite textbook on …

Testing hypotheses about causation

In 2002, I developed a statistical framework for testing whether your data provides statistically significant support for the hypothesis that A causes B. I published only one...

How the strange Cauchy distribution proved useful

On Tuesday I had an interesting exchange with Jorge Muro Arbulú, a professor in Peru, about the Cauchy distribution, which also called the Lorenzian distribution.

Some Analytica customers

Download Free Analytica

We hate spam as much as you. We won't share your email with third parties.
The free edition of Analytica includes these key Analytica features:
Free Analytica has no time limit. The only constraint is it won’t let you create more than 100 variables or other objects. But your model can be quite substantial since each variable can be a multidimensional array. It also lets you explore, change inputs, and run existing models of any size (excluding features unique to the Enterprise or Optimizer editions).