Results 51 to 60 of about 938,399 (265)
A Review on Global Sensitivity Analysis Methods [PDF]
This chapter makes a review, in a complete methodological framework, of various global sensitivity analysis methods of model output. Numerous statistical and probabilistic tools (regression, smoothing, tests, statistical learning, Monte Carlo, \ldots) aim at determining the model input variables which mostly contribute to an interest quantity depending
Iooss, Bertrand, Lemaître, Paul
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Global Sensitivity Analysis for Statistical Model Parameters [PDF]
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Joseph L. Hart +2 more
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ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows +19 more
wiley +1 more source
Simplified Identification Strategy of Load Model Based on Global Sensitivity Analysis
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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Global Poverty Estimates: A Sensitivity Analysis
Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines.
Camelia Minoiu, Shatakshee Dhongde
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ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger +8 more
wiley +1 more source
Process designs based on deterministic simulations without considering parameter uncertainty or variability have a high probability of failing to meet specifications.
José M. Gozálvez-Zafrilla +1 more
doaj +1 more source
ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas +7 more
wiley +1 more source
Horizontal curves are frequently associated with elevated crash risk because of the combined effects of vehicle speed, roadway geometry, and tire–pavement friction.
R. Srinivasa Kumar, Vemula Rajesh Kumar
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A Matlab toolbox for Global Sensitivity Analysis
AbstractGlobal Sensitivity Analysis (GSA) is increasingly used in the development and assessment of environmental models. Here we present a Matlab/Octave toolbox for the application of GSA, called SAFE (Sensitivity Analysis For Everybody). It implements several established GSA methods and allows for easily integrating others. All methods implemented in
Francesca Pianosi +2 more
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