Results 31 to 40 of about 587,894 (312)
Assessing the Calibration of Dichotomous Outcome Models with the Calibration Belt [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2017 The calibration belt is a graphical approach designed to evaluate the goodness of fit of binary outcome models such as logistic regression models. The calibration belt examines the relationship between estimated probabilities and observed outcome rates. Significant deviations from the perfect calibration can be spotted on the graph.
Nattino, Giovanni +4 more
openaire +1 more source
, 2018 <p>This project provides software for the automated analysis of CMS jobs running on the GridKa WLCG site with the goal of computing model calibration parameters for Palladio performance models of the grid.</p ...
Maximilian Stemmer-Grabow +1 more
core +1 more source
A simple NWA calibration algorithm based on a transfer standard [PDF]
, 1997 A new two-port network analyzer (NWA) calibration technique is here presented. It uses a single two-port transfer standard plus a known reflectance to perform the calibration process.
A. Ferrero +6 more
core +1 more source
Methodological aspects of using NIR spectroscopy to assess biochemical indicators in barley grain
Труды по прикладной ботанике, генетике и селекцииBackground. The possibility of applying near-infrared reflectance (NIR) spectroscopy for rapid assessment of various biochemical parameters in barley varieties and forms is discussed. The data obtained by the Biochemistry and Molecular Biology Department
V. S. Popov +3 more
doaj +1 more source
Calibrating a flow model in an irrigation network: Case study in Alicante, Spain
Spanish Journal of Agricultural Research, 2017 The usefulness of models depends on their validation in a calibration process, ensuring that simulated flows and pressure values in any line are really occurring and, therefore, becoming a powerful decision tool for many aspects in the network management
Modesto Pérez-Sánchez +3 more
doaj +1 more source
Sequential calibration of material constitutive model using mixed-effects calibration
Mechanics & Industry, 2023 Identifying model parameters is nowadays intrinsically linked with quantifying the associated uncertainties. While classical methods allow to handle some types of uncertainties such as experimental noise, they are not designed to take into account the ...
Laboulfie Clément +6 more
doaj +1 more source
TerraSAR-X Calibration - First Results
, 2007 As TerraSAR-X, due for launch in February 2007, will be an operational scientific mission with commercial potential, product quality is of paramount importance.
Markus Bachmann +7 more
core +1 more source
DIC-Aided Mechanoluminescent Film Sensor for Quantitative Measurement of Full-Field Strain
SensorsTo break through the bottleneck in the mapping of the mechanoluminescent (ML) intensity field to the strain field, a quantification method for full-field strain measurement based on pixel-level data fusion is proposed, integrating ML imaging with digital
Guoqing Gu, Liya Dai, Liyun Chen
doaj +1 more source
Comparative study between local and global optimization for Heston model
Ratio Mathematica, 2022 The objective of this study is to estimate the calibration parameters of the Heston stochastic volatility model by the two optimization methods: local and global, then to compare their performances and finally to recommend one of the two methods.
Mohammed Bouasabah
doaj +1 more source
On Calibrating Diffusion Probabilistic Models
Advances in Neural Information Processing Systems 36, 2023 Recently, diffusion probabilistic models (DPMs) have achieved promising results in diverse generative tasks. A typical DPM framework includes a forward process that gradually diffuses the data distribution and a reverse process that recovers the data distribution from time-dependent data scores.
Tianyu Pang +5 more
openaire +3 more sources