Results 31 to 40 of about 118,549 (265)
Econometrics, 2018 It is sometimes observed and frequently assumed that top incomes in household surveys worldwide are poorly measured and that this problem biases the measurement of income inequality.
Vladimir Hlasny, Paolo Verme
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IEEE Access, 2018 A new transient Granger causality detection method is proposed based on a time-varying parametric modeling framework, and is applied to the real EEG signals to reveal the causal information flow during motor imagery (MI) tasks.
Yang Li +4 more
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A 6DoF Pose Estimation Dataset and Network for Multiple Parametric Shapes in Stacked Scenarios
Machines, 2021 Most industrial parts are instantiated from different parametric templates. The 6DoF (6D) pose estimation tasks are challenging, since some part objects from a known template may be unseen before.
Xinyu Zhang, Weijie Lv, Long Zeng
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An Unstructured Model for Anaerobic Treatment of Raw Cheese Whey for Volatile Fatty Acids Production
Energies, 2020 The whey is a byproduct of the dairy industry that, if not treated properly, can cause serious environmental pollution problems. Anaerobic treatment is an alternative for its recovery, since, in addition to reducing the organic load.
Claudio B-Arroyo +5 more
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Computers, 2022 In this research paper, a combinatorial optimization approach is proposed for parameter estimation in single-phase transformers considering voltage and current measurements at the transformer terminals.
Brandon Cortés-Caicedo +2 more
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Frontiers in Astronomy and Space SciencesStereoscopic remote sensing observations of terrestrial far ultraviolet (Lyman-α at 121.6 nm) emissions at solar minimum have been used to retrieve the time-dependent response of the exospheric 3-D neutral hydrogen (H) density at radial distances of 3–6 ...
Jochen H. Zoennchen +2 more
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Robust variance estimation and inference for causal effect estimation
Journal of Causal Inference, 2023 We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh +3 more
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Penalized Estimation in Parametric Frailty Model
Heliyon, 2023 Frailty model examines the effect of observable and non-observable factors on time to event data. Presence of collinearity produces unstable estimates of parameters. Therefore, this research focus on the penalized estimation of frailty model and proposed the new estimator which is the extension of ridge and principal component estimators. Simulation is
Marwan H. Ahelali +2 more
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Energies, 2023 Supraharmonics emitted by power electronic equipment will cause electromagnetic interference. However, there is no uniform standard for the measurement of supraharmonics.
Kaite Li +3 more
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Użyteczność modeli parametrycznych i sztucznych sieci neuronowych w prognozowaniu kosztów produkcji [PDF]
Zeszyty Teoretyczne Rachunkowości, 2017 Użyteczność modeli parametrycznych i sztucznych sieci neuronowych w prognozowaniu kosztów produkcji The aim of the paper is to analyze parametric models and artificial neural networks in terms of their suitability as estimation tools of the production ...
Zbigniew Leszczyński, Tomasz Jasiński
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