Errors in Variables
Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions.
... In the second part, we study matrix variate models (Dawid, 1981; Gupta and Varga, 1992) to explain two-way dependencies in data. Recent work on matrix variate models (Dutilleul, 1999; Lu and Zimmerman, 2005; Werner et ...
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Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
... linear errors-in-variables model that was considered by ...linear errors-in-variable model that was considered by ...measurement errors that was considered by ...with errors and X can ...
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Nonparametric instrumental regression with errors in variables
... On the other hand, when the disturbance U satisfies mean independence E [U |X ∗ ] = 0, then the estimation problem of m turns into one of nonparametric regression with errors in variables. This is another ...
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Empirical Tests of Asset Pricing Models with Individual Assets: Resolving the Errors-in-Variables Bias in Risk Premium Estimation
... We propose a method for estimating risk premiums using individual stocks as test assets. It overcomes concerns about risk premiums estimated with test portfolios, which have been employed in almost all previous ...
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Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares
... Abstract— In this paper, we propose a robust Kalman filter and smoother for the errors-in-variables (EIV) state space model subject to observation noise with outliers. We introduce the EIV problem with ...
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Consistency of the structured total least squares estimator in a multivariate errors in variables model
... The structured total least squares estimator, defined via a constrained optimization problem, is a generalization of the total least squares estimator when the data matrix and the applied correction satisfy given ...
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Order Selection of Spatial and Temporal Autoregressive Models with Errors in Variables
... Using information criteria, an extensive simulation study shows the results of order selection in the context of time and spatial series analysis.. Keywords: autoregressive processes, in[r] ...
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On errors in variables estimation with unknown noise variance ratio
... More general EIV models, where the measurement errors need not be i.i.d., have been considered in (Kukush and Van Huffel, 2004). The corresponding TLS-type problems are called weighted TLS prob- lems. A key ...
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Consistent estimation in the bilinear multivariate errors in variables model
... It should be noted that the TLS principle can no longer be applied to model (2) in order to provide consistent estimates. Indeed, as mentioned in [Ful87], adding correction matrices DA, DB and DC of minimal Frobenius ...
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Instrumental variables quantile regression for panel data with measurement errors
... instrumental variables estimator for quantile regression in panel data with fixed ...instrumental variables es- timator are studied for large N and T when N a /T → 0, for some a > ...measurement ...
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Misconduct Vs. Honest Errors: Should Honest Errors in Research be Punished?
... In addition to the above, it is equally necessary that the researcher, who is accused of misconduct, knows what the crime is, intends the crime and voluntarily chooses it. Thus, knowledge, intentionality and ...
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Medical Errors Prevention
... medical errors in the United States which revealed that somewhere between 44,000 and, quite possibly, upwards of 90,000 deaths attributed to medical errors occurred annually in ...medical errors may ...
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Ethics without Errors
... The most elegant critique of error theory in the literature is to be found in “Errors and the Phenomenology of Value” a brilliant paper by Simon Blackburn written almost 30 years ago and which for a long time I ...
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Medical errors and their prevention
... their errors stating “We are going from a culture of blame to a culture of system safety, and we should move on to a culture of patient safety and accountability” ...
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On NMT Search Errors and Model Errors: Cat Got Your Tongue?
... search errors in NMT has received only limited ...search errors in un- constrained NMT due to the lack of an exact infer- ence scheme that – although too slow for practi- cal MT – guarantees to find the ...
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Learning from Errors
... Errors are defined and treated in different way by different linguists, researchers and scholars. First, it is important to distinguish between errors and mistakes, being that these two terms are often ...
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Descartes on the errors of the senses
... correct errors in habitual judgements as a result of rational reflection, even though it is difficult to ...the errors in these different judgements originate in very different ...the errors in our ...
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Stochastic errors vs. modeling errors in distance based phylogenetic reconstructions
... We then showed, both analytically (in Section Devia- tion from Additivity in Homogeneous Substitution Mod- els) and through experiments on simulated data sets (in Sections Performance of[r] ...
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A Review on Medication Errors
... medication errors, prescr - ibing errors (67 %), administration errors (25%), dispensing errors (08%) were found on the basis of review of ...Prescribing errors are the prime cause of ...
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Correcting or not Errors and Mistakes
... This procedure is mainly done through symbols mentioned above to help the students focus their attention on the type of the mistake and think about how to correct it. It involves the student in correction and helps the ...
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