Results 21 to 30 of about 26,168,461 (285)
Stochastic Sensitivity Analysis in Data Envelopment Analysis
Fuzzy Optimization and Modeling, 2021 Data Envelopment Analysis (DEA) is an impeccable approach based on mathematical programming for the efficiency measurement of homogeneous Decision-Making Units (DMUs).
Nasim Arabjazi +3 more
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Sensitivity Analysis of Mathematical Models
Computation, 2023 The construction of a mathematical model of a complicated system is often associated with the evaluation of inputs’ (arguments, factors) influence on the output (response), the identification of important relationships between the variables used, and ...
Anton Sysoev
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Parametric Sensitivity of CSTBRs for Lactobacillus casei: Normalized Sensitivity Analysis
ChemEngineering, 2020 In this paper, a sensitivity analysis of a continuous stirred tank bioreactor (CSTBR) was conducted to determine a parametrically sensitive regime.
Subhashis Das +2 more
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IET Science, Measurement & Technology, 2023 In this paper, an improved two‐step method is presented for the sensitivity analysis of vector network analyzer (VNA) S‐parameter measurements due to the non‐ideal line‐reflect‐match (LRM) calibration standards.
Wei Zhao +5 more
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A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time
Fire, 2021 Rapid estimates of the risk from potential wildfires are necessary for operational management and mitigation efforts. Computational models can provide risk metrics, but are typically deterministic and may neglect uncertainties inherent in factors driving
Ujjwal KC +3 more
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Sensitivity Analysis and Financial Decisions
Mercados y Negocios, 2022 The sensitivity analysis illustrates the variation of the value or result of a model in response to changes in some of its key variables, keeping the value of the other variables constant.
Juan Gaytán Cortés
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Sensitivity analysis methodology for battery degradation models [PDF]
, 2022 Accurate degradation models are crucial to battery design and management. However, the time and resources required to improve the accuracy of the model input factors that the output is sensitive to, which is essential for elucidating the inherent ...
Williams Agyei , Appiah +3 more
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Sensitivity Analysis: An Operational Picture
Water Resources Research, 2023 Modeling is crucial to understand the behavior of environmental systems. A deeper comprehension of a model can be aided by global sensitivity analysis (GSA).
A. Dell’Oca
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Simplified Identification Strategy of Load Model Based on Global Sensitivity Analysis
IEEE Access, 2020 Load modeling plays an important role in accessing and enhancing the dynamic stability of power systems. Though the Synthesis Load Model Considering Voltage Regulation of Distribution Network ( $\pi $ model) has high accuracy, its parameters are too ...
Xin Tian +5 more
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Sensitivity of Survival Analysis Metrics
Mathematics, 2023 Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev +2 more
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