[图书][B] Basics and trends in sensitivity analysis: Theory and practice in R
In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
Global sensitivity measures from given data
Simulation models support managers in the solution of complex problems. International
agencies recommend uncertainty and global sensitivity methods as best practice in the …
agencies recommend uncertainty and global sensitivity methods as best practice in the …
Sensitivity analysis of agent-based models: a new protocol
Agent-based models (ABMs) are increasingly used in the management sciences. Though
useful, ABMs are often critiqued: it is hard to discern why they produce the results they do …
useful, ABMs are often critiqued: it is hard to discern why they produce the results they do …
Dealing with uncertainty in agent‐based simulation: farm‐level modeling of adaptation to climate change in southwest Germany
Climate change will most likely confront agricultural producers with natural, economic, and
political conditions that have not previously been observed and are largely uncertain. As a …
political conditions that have not previously been observed and are largely uncertain. As a …
Transformations and invariance in the sensitivity analysis of computer experiments
Monotonic transformations are widely employed in statistics and data analysis. In computer
experiments they are often used to gain accuracy in the estimation of global sensitivity …
experiments they are often used to gain accuracy in the estimation of global sensitivity …
Sampling strategies in density-based sensitivity analysis
W Castaings, E Borgonovo, MD Morris… - … Modelling & Software, 2012 - Elsevier
Decision and policy-makers benefit from the utilization of computer codes in an increasing
number of areas and applications. Several authorities and agencies recommend the …
number of areas and applications. Several authorities and agencies recommend the …
A randomized orthogonal array-based procedure for the estimation of first-and second-order Sobol'indices
JY Tissot, C Prieur - Journal of Statistical Computation and …, 2015 - Taylor & Francis
In variance-based sensitivity analysis, the method of Sobol'[Sensitivity analysis for nonlinear
mathematical models. Math Model Comput Exp. 1993; 1: 407–414] allows one to compute …
mathematical models. Math Model Comput Exp. 1993; 1: 407–414] allows one to compute …
Improved best estimate plus uncertainty methodology, including advanced validation concepts, to license evolving nuclear reactors
C Unal, B Williams, F Hemez, SH Atamturktur… - … Engineering and Design, 2011 - Elsevier
Many evolving nuclear energy technologies use advanced predictive multiscale,
multiphysics modeling and simulation (M&S) capabilities to reduce the cost and schedule of …
multiphysics modeling and simulation (M&S) capabilities to reduce the cost and schedule of …
Systems dynamics and the uncertainties of diagnostics, testing and contact tracing for COVID-19
JM Fair, RJ LeClaire, LR Dauelsberg, M Ewers… - Methods, 2021 - Elsevier
The current COVID-19 pandemic contains an unprecedented amount of uncertainty and
variability and thus, there is a critical need for understanding of the variation documented in …
variability and thus, there is a critical need for understanding of the variation documented in …
Quantifying the economic importance of irrigation water reuse in a C hilean watershed using an integrated agent‐based model
Irrigation with surface water enables Chilean agricultural producers to generate one of the
country's most important economic exports. The Chilean water code established tradable …
country's most important economic exports. The Chilean water code established tradable …