Goodness-of-fit test in a multivariate errors-in-variables model [PDF]
Modern Stochastics: Theory and Applications, 2016 We consider a multivariable functional errors-in-variables model $AX\approx B$, where the data matrices A and B are observed with errors, and a matrix parameter X is to be estimated.
Alexander Kukush +1 more
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Asymptotic normality of total least squares estimator in a multivariate errors-in-variables model [PDF]
Modern Stochastics: Theory and Applications, 2016 We consider a multivariate functional measurement error model $AX\approx B$. The errors in $[A,B]$ are uncorrelated, row-wise independent, and have equal (unknown) variances.
Alexander Kukush +1 more
doaj +4 more sources
Multivariate adaptive regression spline modeling for estimating carotid artery plaque thickness in Chinese men with type 2 diabetes [PDF]
Journal of International Medical ResearchObjective The incidence of type 2 diabetes continues to increase worldwide, with cardiovascular disease as the leading cause of mortality in this population. Carotid artery plaque thickness serves as a non-invasive marker of atherosclerosis.
Chung-Chi Yang +5 more
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Fast and robust estimation of the multivariate errors in variables model [PDF]
TEST, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Croux, Christophe +2 more
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Fitting an Equation to Data Impartially
Mathematics, 2023 We consider the problem of fitting a relationship (e.g., a potential scientific law) to data involving multiple variables. Ordinary (least squares) regression is not suitable for this because the estimated relationship will differ according to which ...
Chris Tofallis
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Role of Management Earnings Forecast Error in Stock Market Efficiency with Emphasis on Earnings and Operation Earnings Components [PDF]
مجله دانش حسابداری, 2020 Objective: The purpose of this research was to investigate the role of management earnings forecast errors in stock market efficiency with emphasis on operation earnings and their components in the Tehran Stock Exchange from 2009 to 2017.
Shamsi Vahedi, Saeed Ali ahmadi (Ph.D)
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Multivariate Sea Surface Prediction in the Bohai Sea Using a Data-Driven Model
Journal of Marine Science and Engineering, 2023 Data-driven predictions of marine environmental variables are typically focused on single variables. However, in real marine environments, there are correlations among different oceanic variables.
Song Hu +6 more
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Prediction in polynomial errors-in-variables models
Modern Stochastics: Theory and Applications, 2020 A multivariate errors-in-variables (EIV) model with an intercept term, and a polynomial EIV model are considered. Focus is made on a structural homoskedastic case, where vectors of covariates are i.i.d. and measurement errors are i.i.d. as well.
Alexander Kukush, Ivan Senko
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K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression
مجلة بغداد للعلوم, 2022 This paper proposed a new method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates are functional and the Principal Component Analysis was utilized to de-correlate the multivariate
Shelan Saied Ismaeel +2 more
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Adjusted Likelihood Inference in an Elliptical Multivariate Errors-in-Variables Model [PDF]
Communications in Statistics - Theory and Methods, 2014 In this paper we obtain an adjusted version of the likelihood ratio test for errors-in-variables multivariate linear regression models. The error terms are allowed to follow a multivariate distribution in the class of the elliptical distributions, which has the multivariate normal distribution as a special case.
Melo, Tatiane F. N. +1 more
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