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Classification of Systematic Measurement Errors within the Framework of Robust Data Reconciliation
(American Chemical Society, 2017-07)
A robust data reconciliation strategy provides unbiased variable estimates in the presence of a moderate quantity of atypical measurements. However, estimates get worse if systematic measurement errors that persist in time ...
Mitigating systematic errors for single frequency GPS receivers employing a penalized least squares methodology
(2006-12-27)
Among the positioning systems that compose GNSS (Global Navigation Satellite System), GPS has the capability of providing low, medium and high precision positioning data. However, GPS observables may be subject to many ...
A Robust Methodology for the Sensor Fault Detection and Classification of Systematic Observation Errors
(Elsevier Science, 2017-07)
Robust Data Reconciliation enhances the quality of variable estimates when the data set contains a moderate proportion of atypical observations. But if systematic errors that persist in time, i.e. biases and drifts, are ...
Kalman filter and correction of the temperatures estimated by PRECIS model
(Elsevier Science IncNew YorkEUA, 2011)
Systematic risk estimation in symmetric models
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2009)
The aim of this article is to discuss the estimation of the systematic risk in capital asset pricing models with heavy-tailed error distributions to explain the asset returns. Diagnostic methods for assessing departures ...
Taming systematic uncertainties at the LHC with the central limit theorem
(Elsevier B.V., 2016-10-01)
We study the simplifications occurring in any likelihood function in the presence of a large number of small systematic uncertainties. We find that the marginalisation of these uncertainties can be done analytically by ...
Parameter estimation using ensemble based data assimilation in the presence of model error
(American Meteorological Society, 2015-05)
This work explores the potential of online parameter estimation as a technique for model error treatment under an imperfect model scenario, in an ensemble-based data assimilation system, using a simple atmospheric general ...
Measurement Error of a Simplified Protocol for Quantitative Sensory Tests in Chronic Pain Patients
(W B Saunders Co-Elsevier Inc, 2017-07)
Large-scale application of Quantitative Sensory Tests (QST) is impaired by lacking standardized testing protocols. One unclear methodological aspect is the number of records needed to minimize measurement error. Traditionally, ...
Influence of uncorrected refractive error and unmet refractive error on visual impairment in a Brazilian population
(Biomed Central Ltd., 2014-06-25)
Background: The World Health Organization (WHO) definitions of blindness and visual impairment are widely based on best-corrected visual acuity excluding uncorrected refractive errors (URE) as a visual impairment cause. ...