Search for "Sensitivity analysis" in article titles:

1. Sensitivity analysis: Sensitivity Analysis Geert Molenberghs I-BioStat, Universiteit Hasselt & Katholieke Universiteit Leuven, Belgium. Statistical models often extend beyond the data available. (Mathematics) [100%] 2023-10-17 [Statprob]
2. Sensitivity analysis: 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 to different sources of uncertainty in its inputs. A related practice is uncertainty analysis ... (Study of uncertainty in the output of a mathematical model or system) [100%] 2023-12-11 [Sensitivity analysis] [Simulation]...
3. Sensitivity analysis of an EnergyPlus model: Sensitivity analysis identifies how uncertainties in input parameters affect important measures of building performance, such as cost, indoor thermal comfort, or CO2 emissions. Input parameters for buildings fall into roughly three categories: Each parameter has a different distribution of possible ... [57%] 2024-05-06 [Sensitivity analysis]
4. Sensitivity analysis of an EnergyPlus model: Sensitivity analysis identifies how uncertainties in input parameters affect important measures of building performance, such as cost, indoor thermal comfort, or CO2 emissions. Input parameters for buildings fall into roughly three categories: Each parameter has a different distribution of possible ... [57%] 2024-08-23 [Sensitivity analysis]
5. Variance-based sensitivity analysis: 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. [70%] 2023-10-09 [Mathematical modeling] [Sensitivity analysis]...
6. Environmental applications of sensitivity analysis: Together with Earth sciences and Engineering, Environmental sciences have the largest number of academic articles including or dealing with sensitivity analysis . Environmental computer models are increasingly used in a wide variety of studies and applications. [63%] 2023-03-28 [Scientific modeling] [Sensitivity analysis]...
7. Applications of sensitivity analysis in meta-analysis: In a meta analysis, a sensitivity analysis tests if the results are sensitive to restrictions on the data included. Common examples are 'large trials only', 'higher quality trials only', and 'more recent trials only'. [62%] 2023-12-30 [Scientific modeling] [Sensitivity analysis]...
8. Applications of sensitivity analysis to business: Sensitivity analysis can be usefully applied to business problem, allowing the identification of those variables which may influence a business decision, such as e.g. an investment. [57%] 2023-02-19 [Sensitivity analysis] [Mathematical optimization in business]...
9. Applications of sensitivity analysis in engineering: Modern engineering design makes extensive use of computer models to test designs before they are manufactured. Sensitivity analysis allows designers to assess the effects and sources of uncertainties, in the interest of building robust models. [57%] 2023-12-10 [Scientific modeling] [Sensitivity analysis]...
10. Applications of sensitivity analysis in chemistry: Sensitivity analysis is common in many areas of physics and chemistry. With the accumulation of knowledge about kinetic mechanisms under investigation and with the advance of power of modern computing technologies, detailed complex kinetic models are increasingly used as predictive ... (Chemistry) [57%] 2024-03-01 [Scientific modeling] [Sensitivity analysis]...
11. Applications of sensitivity analysis in epidemiology: Sensitivity analysis studies the relation between the uncertainty in a model-based the inference and the uncertainties in the model assumptions. Sensitivity analysis can play an important role in epidemiology, for example in assessing the influence of the unmeasured confounding ... [57%] 2024-08-23 [Mathematical modeling] [Sensitivity analysis]...
12. Applications of sensitivity analysis to model calibration: Sensitivity analysis has important applications in model calibration. One application of sensitivity analysis addresses the question of "What's important to model or system development?" One can seek to identify important connections between observations, model inputs, and predictions or forecasts. [53%] 2023-08-06 [Mathematical modeling] [Sensitivity analysis]...
13. Applications of sensitivity analysis to model calibration: Sensitivity analysis has important applications in model calibration. One application of sensitivity analysis addresses the question of "What's important to model or system development?" One can seek to identify important connections between observations, model inputs, and predictions or forecasts. [53%] 2023-12-29 [Mathematical modeling] [Sensitivity analysis]...
14. Applications of sensitivity analysis to environmental sciences: Sensitivity analysis studies the relationship between the output of a model and its input variables or assumptions. Historically, the need for a role of sensitivity analysis in modelling, and many applications of sensitivity analysis have originated from environmental science and ... [53%] 2024-08-23 [Sensitivity analysis] [Mathematical modeling]...
15. Applications of sensitivity analysis to model calibration: Sensitivity analysis has important applications in model calibration. One application of sensitivity analysis addresses the question of "What's important to model or system development?" One can seek to identify important connections between observations, model inputs, and predictions or forecasts. [53%] 2025-06-01 [Mathematical modeling] [Sensitivity analysis]...