Multivariate Calibration — Direct and Indirect Regression Methodology

DOI10.1111/1467-9469.00144zbMath0935.62077OpenAlexW2032139086MaRDI QIDQ4939925

Rolf Sundberg

Publication date: 1 March 2000

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9469.00144

zbMATH Keywords

cross-validationridge regressioncalibrationgeneralized least squares

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Linear inference, regression (62J99) Applications of statistics (62P99)

Related Items (13)

On estimation in multivariate linear calibration with elliptical errors ⋮ Inverse prediction for multivariate mixed models with standard software ⋮ Variations on Ridge Traces in Regression ⋮ Confidence Regions in Multivariate Calibration: A Proposal ⋮ A two-step PLS inspired method for linear prediction with group effect ⋮ Varying Coefficients Model with Measurement Error ⋮ Optimal designs for estimating the control values in multi-univariate regression models ⋮ Surrogate models in ill-conditioned systems ⋮ Rejoinder: ``A statistical analysis of multiple temperature proxies: are reconstructions of surface temperatures over the last 1000 years reliable? ⋮ Bayes Model Averaging with Selection of Regressors ⋮ Concentration reversals in ridge regression ⋮ Exact finite-sample bias and MSE reduction in a simple linear regression model with measurement error ⋮ The asymptotic variance of the univariate PLS estimator

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