Sensitivity Analysis in Practice: a Guide to Assessing Scientific Models
By Andrew Mcculloch. 2005
83 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9a476cdc00c1b781b2154c454d82e8b8633d4aec
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Andrea Saltelli
- Stefano Tarantola
- Francesca Campolongo
- Union Européenne
- Marco Ratto
- Bertrand Iooss
- Paul Lemaître
- Michela Nardo
In Economics and Econometrics
- Andrea Saltelli
- Stefano Tarantola
- Francesca Campolongo
- Union Européenne
- Marco Ratto
- Bertrand Iooss
- Nikolay Iskrev
- Paul Lemaître
In Statistics and Probability
- Andrea Saltelli
- Francesca Campolongo
- Stefano Tarantola
- Marco Ratto
- Union Européenne
- Thorsten Wagener
- Francesca Pianosi
- Bertrand Iooss
Citations in the corpus
- Sensitivity analysis practices: Strategies for model-based inference (2006, methodology): “…auth E-mail address: and Fourteen years after Science’s review of sensitivity analysis (SA) methods in 1989 (System analysis at molecular scale, by H. Rabitz) we search Science Online to identify and then review all recent articles having ‘‘sensitivity analysis’’ as a keyword.”
- Handbook on Constructing Composite Indicators: Methodology and User Guide (2008, methodology): “The generation of samples can be performed using various procedures, such as simple random sampling, stratified sampling, quasi-random sampling or others (Saltelli et al., 2008; Saltelli et al. 2004).”