Results 11 to 20 of about 3,495,066 (309)
Chemosensory Profile of South Tyrolean Pinot Blanc Wines: A Multivariate Regression Approach [PDF]
Molecules, 2021 A multivariate regression approach based on sensory data and chemical compositions has been applied to study the correlation between the sensory and chemical properties of Pinot Blanc wines from South Tyrol.
Simone Poggesi +7 more
doaj +2 more sources
Multivariate functional group sparse regression: Functional predictor selection.
PLoS ONE, 2022 In this paper, we propose methods for functional predictor selection and the estimation of smooth functional coefficients simultaneously in a scalar-on-function regression problem under a high-dimensional multivariate functional data setting.
Ali Mahzarnia, Jun Song
doaj +1 more source
Energies, 2023 This paper presents the mathematical basis and related procedures for the regression of the upper bound of the dynamic error produced by charge-mode accelerometers.
Krzysztof Tomczyk, Małgorzata Kowalczyk
doaj +1 more source
Multivariate Frequency-Severity Regression Models in Insurance
Risks, 2016 In insurance and related industries including healthcare, it is common to have several outcome measures that the analyst wishes to understand using explanatory variables. For example, in automobile insurance, an accident may result in payments for damage
Edward W. Frees, Gee Lee, Lu Yang
doaj +1 more source
Business performance in IT. A multivariate regression analysis [PDF]
Ovidius University Annals: Economic Sciences Series, 2022 For the analysis of the performance of IT companies in Romania we have opted for a linear regression model in which the dependent variable entitled Result, which can be either profit or loss, was explained through the influence of the following ...
Ionela Tofan, Elena Condrea
doaj
Robust Multivariate Regression
Technometrics, 2004 We introduce a robust method for multivariate regression based on robust estimation of the joint location and scatter matrix of the explanatory and response variables. As a robust estimator of location and scatter, we use the minimum covariance determinant (MCD) estimator of Rousseeuw.
Rousseeuw, Peter +3 more
openaire +4 more sources
On Multivariate Ridge Regression [PDF]
Biometrika, 1987 A multivariate linear regression model with q responses as a linear function of p independent variables is considered with a \(p\times q\) parameter matrix B. The least-squares or normal-theory maximum likelihood estimate of B is deficient in that it takes no account of the `across regression' correlations, and ignores the Stein effect.
openaire +3 more sources
Water Science and Technology, 2022 Modelling, automation, and control are widely used for water resource recovery facility (WRRF) optimization. An influent generator (IG) is a model, aiming to provide the flowrate and pollutant concentration dynamics at the inlet of a WRRF for a range of ...
Feiyi Li, Peter A. Vanrolleghem
doaj +1 more source
On Multivariate Median Regression [PDF]
Bernoulli, 1999 The author considers an extension of the concept of least absolute deviation regression for problems with multivariate response. The approach is based on a transformation and retransformation technique that chooses a data-driven coordinate system for transforming the response vectors and then retransform the estimate of the matrix of regression ...
openaire +3 more sources
Estimating the performance of heavy impact sound insulation using empirical approaches
Journal of Asian Architecture and Building Engineering, 2021 With an increasing demand for quieter residential environments, impact sound insulation for floating floors is gaining importance. However, existing methods for estimating the performance of heavy impact sound insulation are limited by their inability to
Jongwoo Cho +5 more
doaj +1 more source