The ingredient for healthy modelling
Most mathematical problems met in social, economic or natural sciences entail the use of computational models, which are generally too complex for an easy appreciation of the relationship between input factors (what gores into the model) and output (the model's dependent variables). The main thesis of the present article is that any model should undergo uncertainty and sensitivity analysis as a matter of course, prior to and within its use in different applications. Sensitivity analysis should be implicitly assumed as part of any statement based on or involving a model.
Bibliographic Reference: Article: Science (1998)
Record Number: 199810741 / Last updated on: 1998-06-22
Original language: en
Available languages: en