Criteria for selection of response variables and the asymptotic properties in a multivariate calibration

DOI10.1007/BF02482520zbMath0614.62090OpenAlexW2002631653MaRDI QIDQ1819870

Ryuei Nishii

Publication date: 1986

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02482520

zbMATH Keywords

mean squared errorasymptotic propertiescalibrationAICAkaike's information criterionmultivariate linear regressioncross validation criterionselecting response variables

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Measures of association (correlation, canonical correlation, etc.) (62H20) Linear inference, regression (62J99)

Cites Work

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• A criterion for variable selection in multiple discriminant analysis
• Asymptotic properties of criteria for selection of variables in multiple regression
• Selection of variables in a multivariate inverse regression problem
• An Analysis of the Linear-Calibration Controversy from the Perspective of Compound Estimation
• Selection of the order of an autoregressive model by Akaike's information criterion
• On the Problem of Calibration

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