Her primary scientific interests are in Morris method, Fourier amplitude sensitivity testing, Statistics, Elementary effects method and Econometrics. Her studies deal with areas such as Variance, Artificial intelligence and Ecological modelling as well as Morris method. Her work in Statistics addresses issues such as Context, which are connected to fields such as Accounting, Work and Government.
Her study looks at the intersection of Elementary effects method and topics like Mathematical optimization with Latin hypercube sampling and Sampling. Her work deals with themes such as Ecology, Demography, Inference and Robustness, which intersect with Econometrics. Andrea Saltelli has researched Sobol sequence in several fields, including Realization, Applied mathematics and Variance-based sensitivity analysis.
Andrea Saltelli mostly deals with Statistics, Econometrics, Variance, Uncertainty analysis and Sobol sequence. Her work in the fields of Statistics, such as Variance-based sensitivity analysis, Fourier amplitude sensitivity testing and Main effect, intersects with other areas such as Measure. Her Fourier amplitude sensitivity testing research is multidisciplinary, incorporating elements of Morris method and Elementary effects method.
The study incorporates disciplines such as Global sensitivity analysis, Inference and Robustness in addition to Econometrics. Andrea Saltelli interconnects Estimator and Mathematical optimization in the investigation of issues within Variance. The concepts of her Uncertainty analysis study are interwoven with issues in Monte Carlo method, Parametric statistics and Risk analysis.
Her scientific interests lie mostly in Variance, Post-normal science, Positive economics, Statistics and Sobol sequence. In her work, Algorithm, Set, Spurious relationship and Variance-based sensitivity analysis is strongly intertwined with Sample, which is a subfield of Variance. Her biological study spans a wide range of topics, including History and philosophy of science, Reflexivity, Public trust and Corporate governance.
Her work in the fields of Regression analysis overlaps with other areas such as Environmental modelling. Her Sobol sequence research includes elements of Hypercube and Estimator. The various areas that she examines in her Estimator study include Econometrics and Applied mathematics.
Her primary areas of investigation include Post-normal science, Positive economics, Normative, Evidence-based policy and Management science. Her study in Post-normal science is interdisciplinary in nature, drawing from both Reflexivity, Sustainability and Set. Her Positive economics research includes themes of Science, technology, society and environment education, Social science education, Science education, Science communication and Social science.
Her Normative study incorporates themes from Phenomenon, Human geography and Storytelling. Evidence-based policy is connected with Poison control, Neglect, Corporate governance, Policy analysis and Perception in her study. Management science is frequently linked to MEDLINE in her study.
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Global Sensitivity Analysis: The Primer
Handbook on Constructing Composite Indicators: Methodology and User Guide
Michela Nardo;Michaela Saisana;Andrea Saltelli;Stefano Tarantola.
Research Papers in Economics (2005)
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
Andrea Saltelli;Stefano Tarantola;Francesca Campolongo;Marco Ratto.
Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
Andrea Saltelli;Paola Annoni;Ivano Azzini;Francesca Campolongo.
Computer Physics Communications (2010)
A quantitative model-independent method for global sensitivity analysis of model output
A. Saltelli;S. Tarantola;K. P.-S. Chan.
Importance measures in global sensitivity analysis of nonlinear models
Toshimitsu Homma;Andrea Saltelli.
Reliability Engineering & System Safety (1996)
Making best use of model evaluations to compute sensitivity indices
Computer Physics Communications (2002)
An effective screening design for sensitivity analysis of large models
Francesca Campolongo;Jessica Cariboni;Andrea Saltelli.
Environmental Modelling and Software (2007)
Sensitivity analysis for importance assessment.
Risk Analysis (2002)
Sensitivity Analysis as an Ingredient of Modeling
A. Saltelli;S. Tarantola;F. Campolongo.
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