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Convergence Property of the Measurement Gross Error Correction in Power System State Estimation, Using Geometrical Background
(Institute of Electrical and Electronics Engineers (IEEE), 2013-11-01)
In this paper it is shown that once the measurements with gross errors are detected and identified, the geometrical approach to recover gross errors in power system state estimation, as we have previously proposed, is a ...
Generalized error-dependent prediction uncertainty in multivariate calibration
(Elsevier Science, 2016-01)
Most of the current expressions used to calculate figures of merit in multivariate calibration have been derived assuming independent and identically distributed (iid) measurement errors. However, it is well known that ...
A geometrical view for multiple gross errors detection, identification, and correction in power system state estimation
(2013-01-30)
In this paper a geometrical approach is described to detect, identify, and recover multiple gross errors in power system state estimation. Using the classical WLS estimator, the measurement residuals is computed, and then ...
Reverse Transcription Errors and RNA-DNA Differences at Short Tandem Repeats
(2016-07-12)
Transcript variation has important implications for organismal function in health and disease. Most transcriptome studies focus on assessing variation in gene expression levels and isoform representation. Variation at the ...
Biopsia en los errores innatos del metabolismoBiopsy in inborn errors of metabolism
(Instituto Nacional de Pediatría, 2010)
Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors
(JOHN WILEY & SONS LTD, 2008)
In many epidemiological studies it is common to resort to regression models relating incidence of a disease and its risk factors. The main goal of this paper is to consider inference on such models with error-prone ...
Estimación del Error en Elementos Hexaédricos
(Centro de Información Tecnológica, 2010)
Definiciones respecto al error en medicina: Some definitions
(Sociedad Médica de Santiago, 2001)
Influence Assessment in an Heteroscedastic Errors-in-Variables Model
(Taylor and Francis Group, LLCPhiladelphia, 2012)
The main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential ...