An effective screening design for sensitivity analysis of large models
Environmental Modelling & Software
Environmental Modelling & Software
Algebraic sensitivity analysis of environmental models
Environmental Modelling & Software
GUI-HDMR - A software tool for global sensitivity analysis of complex models
Environmental Modelling & Software
Environmental Modelling & Software
Useless Arithmetic: Why Environmental Scientists Can't Predict the Future
Useless Arithmetic: Why Environmental Scientists Can't Predict the Future
Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis
Environmental Modelling & Software
Partial order investigation of multiple indicator systems using variance-based sensitivity analysis
Environmental Modelling & Software
Simulation and sensitivity analysis of carbon storage and fluxes in the New Jersey Pinelands
Environmental Modelling & Software
Environmental Modelling & Software
Sobol' sensitivity analysis of a complex environmental model
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Many-objective de Novo water supply portfolio planning under deep uncertainty
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Review: Three complementary methods for sensitivity analysis of a water quality model
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Good practice in Bayesian network modelling
Environmental Modelling & Software
Estimating Sobol sensitivity indices using correlations
Environmental Modelling & Software
Sampling strategies in density-based sensitivity analysis
Environmental Modelling & Software
Position paper: Characterising performance of environmental models
Environmental Modelling & Software
An efficient integrated approach for global sensitivity analysis of hydrological model parameters
Environmental Modelling & Software
Source to tap urban water cycle modelling
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making
Environmental Modelling & Software
Exact scalable sensitivity analysis for the next release problem
ACM Transactions on Software Engineering and Methodology (TOSEM)
Application of a combined sensitivity analysis approach on a pesticide environmental risk indicator
Environmental Modelling & Software
Untangling drivers of species distributions: Global sensitivity and uncertainty analyses of MaxEnt
Environmental Modelling & Software
Environmental Modelling & Software
Global sensitivity analysis of yield output from the water productivity model
Environmental Modelling & Software
Environmental Modelling & Software
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Mathematical modelers from different disciplines and regulatory agencies worldwide agree on the importance of a careful sensitivity analysis (SA) of model-based inference. The most popular SA practice seen in the literature is that of 'one-factor-at-a-time' (OAT). This consists of analyzing the effect of varying one model input factor at a time while keeping all other fixed. While the shortcomings of OAT are known from the statistical literature, its widespread use among modelers raises concern on the quality of the associated sensitivity analyses. The present paper introduces a novel geometric proof of the inefficiency of OAT, with the purpose of providing the modeling community with a convincing and possibly definitive argument against OAT. Alternatives to OAT are indicated which are based on statistical theory, drawing from experimental design, regression analysis and sensitivity analysis proper.