
doi: 10.1007/bf00046985
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experimental design approach, Eigenvalues, singular values, and eigenvectors, Linear regression; mixed models, Hoffmann-Läuter estimator, Estimation in multivariate analysis, Minimax procedures in statistical decision theory, Bayesian approach, right spectral equation, left spectral equation, minimax-linear estimator, maximal eigenvalue, eigenspace, optimality, circular constraints, explicit estimation formulas
experimental design approach, Eigenvalues, singular values, and eigenvectors, Linear regression; mixed models, Hoffmann-Läuter estimator, Estimation in multivariate analysis, Minimax procedures in statistical decision theory, Bayesian approach, right spectral equation, left spectral equation, minimax-linear estimator, maximal eigenvalue, eigenspace, optimality, circular constraints, explicit estimation formulas
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