Results 41 to 50 of about 1,961,829 (179)
PLoS ONE, 2021 The three-parameter Logistic model (3PLM) and the four-parameter Logistic model (4PLM) have been proposed to reduce biases in cases of response disturbances, including random guessing and carelessness. However, they could also influence the examinees who
Xiaozhu Jian, Dai Buyun, Deng Yuanping
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Multimessenger Parameter Estimation of GW170817
, 2019 We combine gravitational wave (GW) and electromagnetic (EM) data to perform a Bayesian parameter estimation of the binary neutron star (NS) merger GW170817. The EM likelihood is constructed from a fit to a large number of numerical relativity simulations
Dai, Liang, Radice, David
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Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 The authors propose to implement conditional non-linear optimal perturbation related to model parameters (CNOP-P) through an ensemble-based approach. The approach was first used in our earlier study and is improved to be suitable for calculating CNOP-P ...
Xudong Yin +3 more
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Parameter estimation in quantum sensing based on deep reinforcement learning
npj Quantum Information, 2022 Parameter estimation is a pivotal task, where quantum technologies can enhance precision greatly. We investigate the time-dependent parameter estimation based on deep reinforcement learning, where the noise-free and noisy bounds of parameter estimation ...
Tailong Xiao, Jianping Fan, Guihua Zeng
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Parameter Estimation of LFM Signals Based on FOTD-CFRFT under Impulsive Noise
Fractal and Fractional, 2023 Due to the short duration and high amplitude characteristics of impulsive noise, these parameter estimation methods based on Gaussian assumptions are ineffective in the presence of impulsive noise. To address this issue, a LFM signal parameter estimation
Houyou Wang, Yong Guo, Lidong Yang
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IET Radar, Sonar & Navigation, 2023 Orthogonal time frequency space (OTFS) is a new method technique that supports reliable information transmission in a strong Doppler environment. Aiming at the radar target parameter estimation problem of integration of radar and communication (IRC ...
Xiaoke Shang, Zhenkai Zhang, Yue Xiao
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Error structures and parameter estimation [PDF]
, 2006 This article proposes a link between statistics and the theory of Dirichlet forms used to compute errors. The error calculus based on Dirichlet forms is an extension of classical Gauss' approach to error propagation.
Bouleau, Nicolas, Chorro, Christophe
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Mixed state Pauli channel parameter estimation
, 2012 The accuracy of any physical scheme used to estimate the parameter describing the strength of a single qubit Pauli channel can be quantified using standard techniques from quantum estimation theory.
C. P. Slichter +4 more
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A systematic method of parameterisation estimation using data assimilation
Tellus: Series A, Dynamic Meteorology and Oceanography, 2016 In numerical weather prediction, parameterisations are used to simulate missing physics in the model. These can be due to a lack of scientific understanding or a lack of computing power available to address all the known physical processes ...
Matthew Lang +2 more
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Frontiers in Climate, 2022 In real applications, one common issue of parameter estimation using ensemble-based data assimilation methods is the accumulation of sampling errors when a large number of observations are used to update single-value parameters.
Zheqi Shen +4 more
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