Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated...

Variance-based sensitivity analysis (often referred to as the Sobol’ method or Sobol’ indices, after Ilya M. Sobol’) is a form of global sensitivity analysis. Working...

Sensitivity analysis studies the relation between the uncertainty in a model-based the inference[clarify] and the uncertainties in the model assumptions...

Sensitivity analysis studies the relationship between the output of a model and its input variables or assumptions. Historically, the need for a role of...

In medicine and statistics, sensitivity and specificity mathematically describe the accuracy of a test that reports the presence or absence of a medical...

Sensitivity analysis identifies how uncertainties in input parameters affect important measures of building performance, such as cost, indoor thermal comfort...

Global Sensitivity Analysis. The Primer by Andrea Saltelli and other practitioners is an introduction to sensitivity analysis of model output, a discipline...

Sensitivity analysis can be usefully applied to business problem, allowing the identification of those variables which may influence a business decision...

optiSLang is a software platform for CAE-based sensitivity analysis, multi-disciplinary optimization (MDO) and robustness evaluation. It was originally...

sources of uncertainty in model input and design. A related field is sensitivity analysis. A calibrated parameter does not necessarily represent reality, as...

In statistics, robust Bayesian analysis, also called Bayesian sensitivity analysis, is a type of sensitivity analysis applied to the outcome from Bayesian...

1961 Werbos, Paul (1982). "Applications of advances in nonlinear sensitivity analysis" (PDF). System modeling and optimization. Springer. pp. 762–770....

sensitively, sensitiveness, sensitivities, or sensitivity in Wiktionary, the free dictionary. Sensitivity may refer to: Sensitivity (physiology), the ability...

inputs to the filter are incorrect. Thus, the sensitivity analysis describes the robustness (or sensitivity) of the estimator to misspecified statistical...

consideration. Perform sensitivity analysis. Adopt the recommended course of action. In United States regulatory policy, cost–benefit analysis is governed by...

used. For more on this topic, see statistical model validation. Sensitivity analysis. A procedure to study the behavior of a system or model when global...

astrophysics, and has contributed significantly to the field of sensitivity analysis. Ilya Meyerovich Sobol’ was born on August 15, 1926, in Panevėžys...

Sensitivity analysis has important applications in model calibration. One application of sensitivity analysis addresses the question of "What's important...

effects (EE) method is one of the most used screening methods in sensitivity analysis. EE is applied to identify non-influential inputs for a computationally...

Fourier amplitude sensitivity testing (FAST) is a variance-based global sensitivity analysis method. The sensitivity value is defined based on conditional...

for evolutionary computation that provides support for sensitivity analysis. Sensitivity analysis in this context studies how an MOEA's parameters impact...

in the data Scale analysis (statistics) – methods to analyse survey data by scoring responses on a numeric scale Sensitivity analysis – the study of how...

possibilities before the experiment is conducted. This is a form of sensitivity analysis. The idea is to estimate the difference, or fractional change, in...

Sensitivity auditing is an extension of sensitivity analysis for use in policy-relevant modelling studies. Its use is recommended - i.a. in the European...

In applied statistics, the Morris method for global sensitivity analysis is a so-called one-factor-at-a-time method, meaning that in each run only one...

traditional decision analysis cycle consists of four phases: basis development deterministic sensitivity analysis probabilistic analysis basis appraisal....

petrochemicals and biopolymers for instance. Therefore, conducting sensitivity analysis in LCA are important to determine which parameters considerably impact...

A sensitivity analysis may reveal surprising insights in multi-criteria decision making (MCDM) studies aimed to select the best alternative among a number...

robustness to failure under severe uncertainty, in particular applying sensitivity analysis of the stability radius type to perturbations in the value of a given...

Dominic C. (2016), MIT Critical Data (ed.), "Sensitivity Analysis and Model Validation", Secondary Analysis of Electronic Health Records, Cham: Springer...