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Журнал Белорусского государственного университета: Математика, информатика, 2020 In article the problem of construction continuous (number of observations is not fixed) D-optimal designs of experiments for trigonometric regression in a case when variance of errors of observations depend on a point in which is made is investigated ...
Valery P. Kirlitsa
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D-optimal experimental designs for linear multiple regression under heteroscedastic observations
Журнал Белорусского государственного университета: Математика, информатика, 2020 The problem of construction of «continuous» (number of observations is not fixed) and «exact» (number of observations is fixed) D-optimal experimental designs for linear multiple regression in the case when variance of errors of observations depends on ...
Valery P. Kirlitsa
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Журнал Белорусского государственного университета: Математика, информатика, 2019 In article the problem of construction exact D-optimal designs of experiments for linear multiple regression in a case when variance of errors of observations depend on a point in which is made is investigated.
Valery P. Kirlitsa
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Журнал Белорусского государственного университета: Математика, информатика, 2018 In article the problem of construction of exact D-optimal designs of experiments for linear multiple regression in a case when variance of errors of observations depend on a point in which is made is investigated. The class functions describing change of
Valery P. Kirlitsa
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Applying Monte Carlo Method for Straight-Line Model Sensor Calibration [PDF]
SensorsSensors are used in measurement systems to enable estimation of physical parameters. Their calibration is an essential requirement and to perform the overall system/sensor calibration, its input is changed while the output is measured. Parameters from an
Pedro M. Ramos, Fernando M. Janeiro
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Bartlett and Bartlett-type corrections in heteroscedastic symmetric nonlinear regression models [PDF]
Anais da Academia Brasileira de Ciências, 2022 This paper provides general expressions for Bartlett and Bartlett-type correction factors for the likelihood ratio and gradient statistics to test the dispersion parameter vector in heteroscedastic symmetric nonlinear models.
MARIANA C. ARAÚJO +2 more
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Correlation Based Ridge Parameters in Ridge Regression with Heteroscedastic Errors and Outliers [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 This paper introduces some new estimators for estimating ridge parameter, based on correlation between response and regressor variables for ridge regression analysis.
A.V. Dorugade
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Corrected score estimators in linear multivariate multiple regression models with heteroscedastic measurement errors [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2018 In this study, the knowledge of estimation theory based on the corrected score (CS) approach is extended in a linear multivariate multiple regression model with heteroscedastic measurement errors (HMEs) and an unknown HME variance.
Wannaporn Junthopas +2 more
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FUDMA JOURNAL OF SCIENCES, 2021 Panel data estimators can strongly be biased and inconsistent in the presence of heteroscedasticity and anomalous observations called influential observations (IOs) in Random effect (RE) panel data model. The existing methods (LWS, WLSF, WLSDRGP) address only the problem of IO but fail to remedy the combine problem of heteroscedasticity and IOs ...
Sani Muhammad +2 more
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Remote Sensing, 2020 The choice of an appropriate metric is mandatory to perform deformation analysis between two point clouds (PC)—the distance has to be trustworthy and, simultaneously, robust against measurement noise, which may be correlated and heteroscedastic ...
Gaël Kermarrec +2 more
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