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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Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model [PDF]
, 2020 Möller AC, Groß J. Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model. Quarterly Journal of the Royal Meteorological Society.
Möller, Annette Christine ; https://orcid.org/ +1 more
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Bayesian Exploration of Phenomenological EoS of Neutron/Hybrid Stars with Recent Observations
Particles, 2023 The description of the stellar interior of compact stars remains as a big challenge for the nuclear astrophysics community. The consolidated knowledge is restricted to density regions around the saturation of hadronic matter ρ0=2.8×1014gcm−3, regimes ...
Emanuel V. Chimanski +3 more
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Effects of outliers on the identification and estimation of GARCH models [PDF]
, 2006 This paper analyses how outliers affect the identification of conditional heteroscedasticity and the estimation of generalized autoregressive conditionally heteroscedastic (GARCH) models.
Ruiz Ortega, Esther +6 more
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Regression calibration for Cox regression under heteroscedastic measurement error - Determining risk factors of cardiovascular diseases from error-prone nutritional replication data [PDF]
, 2003 For instance nutritional data are often subject to severe measurement error, and an adequate adjustment of the estimators is indispensable to avoid deceptive conclusions.
Augustin, Thomas +2 more
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International Journal of Applied Earth Observations and Geoinformation, 2022 The monitoring of soil moisture content (SMC) at very high spatial resolution (
Veronika Döpper +6 more
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A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil
, 2021 A heteroscedastic regression based on the odd log-logistic Marshall–Olkin normal (OLLMON) distribution is defined by extending previous models. Some structural properties of this distribution are presented.
Vasconcelos, J. S. [UNESP] +9 more
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Probabilistic modeling of heteroscedastic laboratory experiments using Gaussian process regression [PDF]
, 2018 : This paper proposes an extension to Gaussian process regression (GPR) for data sets composed of only a few replicated specimens and displaying a heteroscedastic behavior.
Charron, Jean-Philippe +7 more
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Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system [PDF]
Hydrology and Earth System Sciences, 2018 The relative roles of statistical weather preprocessing and streamflow postprocessing in hydrological ensemble forecasting at short- to medium-range forecast lead times (day 1–7) are investigated.
S. Sharma +5 more
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Entropy, 2020 The approximated nonlinear least squares (ALS) method has been used for the estimation of unknown parameters in the complex computer code which is very time-consuming to execute.
Youngsaeng Lee, Jeong-Soo Park
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