Results 321 to 330 of about 29,659,346 (383)
Some of the next articles are maybe not open access.
TORUS 1 – Toward an Open Resource Using Services, 2020
Training Internal Validation External Validation No. of patients 123 82 111 PFS PGMS=0.0001 PGMS=0.0102 PGMS=0.0100 random 8 gene panels 0.0% 0.7% 1.1% non-GMS random 8 gene panels 0.0% 0.5% 0.8% OS PGMS=0.0129 PGMS=0.0047 NA random 8 gene panels 2.6% 0 ...
A. Jourdan, Peio Loubière
semanticscholar +4 more sources
Training Internal Validation External Validation No. of patients 123 82 111 PFS PGMS=0.0001 PGMS=0.0102 PGMS=0.0100 random 8 gene panels 0.0% 0.7% 1.1% non-GMS random 8 gene panels 0.0% 0.5% 0.8% OS PGMS=0.0129 PGMS=0.0047 NA random 8 gene panels 2.6% 0 ...
A. Jourdan, Peio Loubière
semanticscholar +4 more sources
Sensemakr: Sensitivity Analysis Tools for OLS in R and Stata
Social Science Research Network, 2020:This tutorial introduces the package sensemakr for R and Stata, which implements a suite of sensitivity analysis tools for regression models developed in Cinelli and Hazlett (2020, 2022).
Carlos Cinelli +2 more
semanticscholar +1 more source
An Approach to Sensitivity Analysis [PDF]
Journal of the Operational Research Society, 1975 This paper constructs an approximate theory of Sensitivity Analysis in Linear Programmes. This theory allows small (independent or interrelated) changes in any or all of the coefficients of a LP with the ensuing construction of a feasible risk region within which the present basic set of variables does not change.
Richard Flavell, G. R. Salkin
openaire +2 more sources
The sensitivity of sensitivity analysis
Political Science Research and Methods, 2018AbstractThis article evaluates the reliability of sensitivity tests. Using Monte Carlo methods we show that, first, the definition of robustness exerts a large influence on the robustness of variables. Second and more importantly, our results also demonstrate that inferences based on sensitivity tests are most likely to be valid if determinants and ...
Plümper, Thomas, Traunmüller, Richard
openaire +3 more sources
2014
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation.
PUNZO, VINCENZO +2 more
+7 more sources
A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation.
PUNZO, VINCENZO +2 more
+7 more sources
2023
A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
openaire +2 more sources
A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
openaire +2 more sources
Sensitivity Analysis for Oscillators
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2007This paper presents an analysis for calculating sensitivities of an oscillator's periodic steady state and perturbation projection vector to design, process, or environmental parameters. A general continuous-time formulation and time-domain numerical methods are described.
I. Vytyaz +4 more
openaire +3 more sources