Results 31 to 40 of about 5,750 (118)
Nonparametric Regression with Errors in Variables
The Annals of Statistics, 1993 The effect of errors in variables in nonparametric regression estimation is examined. To account for errors in covariates, deconvolution is involved in the construction of a new class of kernel estimators. It is shown that optimal local and global rates of convergence of these kernel estimators can be characterized by the tail behavior of the ...
Fan, Jianqing, Truong, Young K.
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The Case of the Homogeneous Errors-In-Variables Model
Journal of Geodetic Science, 2014 Recently, it has been claimed that the HomogeneousErrors-In-Variables (HEIV) Model, where the lefthandside (LHS) vector is allowed to be multiplied withan unknown scale factor, would represent a generalizationof the regular EIV-Model for which a number ...
Schaffrin B., Snow K.
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Least squares regression with errors in both variables: case studies
Química Nova, 2013 Analytical curves are normally obtained from discrete data by least squares regression. The least squares regression of data involving significant error in both x and y values should not be implemented by ordinary least squares (OLS).
Elcio Cruz de Oliveira +1 more
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A Non-Iterative Approach to Direct Data-Driven Control Design of MIMO LTI Systems
IEEE Access, 2023 This paper proposes a non-iterative direct data-driven technique that deals with linear time-invariant (LTI) controller design by directly identifying the controller from input-output data without using plant identification.
Mohammad Abuabiah +3 more
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Errors-in-Variables Estimation with Wavelets
SSRN Electronic Journal, 2009 This paper proposes a wavelet (spectral) approach to estimate the parameters of a linear regression model where the regressand and the regressors are persistent processes and contain a measurement error. We propose a wavelet filtering approach which does not require instruments and yields unbiased estimates for the intercept and the slope parameters ...
Gençay, Ramazan, Gradojevic, Nikola
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Discrimination of Geological Orientation Data with Measurement Errors
StatsFracture orientation data in structural geology are commonly affected by non-negligible angular uncertainty, which can significantly impact the reliability of classification and interpretation of deformation patterns. In this work, we address the problem
Marco Di Marzio +3 more
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Beta regression model nonlinear in the parameters with additive measurement errors in variables.
PLoS ONE, 2021 We propose in this paper a general class of nonlinear beta regression models with measurement errors. The motivation for proposing this model arose from a real problem we shall discuss here. The application concerns a usual oil refinery process where the
Daniele de Brito Trindade +4 more
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Spherical Regression with Errors in Variables
The Annals of Statistics, 1989 Suppose \(u_ 1,...,u_ n\), \(v_ 1,...,v_ n\) are random points on the sphere such that for unknown points \(\xi_ 1,...,\xi_ n\) and unknown rotation \(A_ 0\), the distribution of \(u_ i\) depends only on \(u^ t_ i\xi_ i\) and that of \(v_ i\) on \(v^ t_ iA_ 0\xi_ i\).
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A multivariate ultrastructural errors-in-variables model with equation error
Journal of Multivariate Analysis, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexandre Galvão Patriota +2 more
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Using lexical variables to predict picture-naming errors in jargon aphasia
Frontiers in Psychology, 2015 Introduction Individuals with jargon aphasia produce fluent output which often comprises high proportions of non-word errors (e.g., maf for dog). Research has been devoted to identifying the underlying mechanisms behind such output.
Catherine Godbold
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