A Workshop by Christian B. Smart
Chief Data Scientist,
Galorath
About this workshop
The use of quantitative risk analysis of cost and schedule is an imperative for complex aerospace projects.
NASA policy is to analyze cost and schedule risks jointly. This talk presents a high-level statistical approach to the estimate of joint cost and schedule risk, including the use of machine learning techniques. This approach provides advantages over a detailed, bottom-up method that is often used.
The application of this approach to a NASA mission that resulted in median cost and schedule estimates within 1% of the actuals is presented.
Topics covered by this workshop
Christian {} is giving away the following
One free copy of the audio version of Solving for Risk Management
Offered by Christian B. Smart
Chief Data Scientist, Galorath
To be in with a chance to win this, simply register for their Workshop by clicking the button at the top of this page
