Kód: 07086544
Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are developed for the application of reduced rank regression in multivariate prediction ... celý popis
Angličtina
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Anotace knihy
Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are developed for the application of reduced rank regression in multivariate prediction problems. For the first time, both classical and Bayesian inference is discussed, using recently proposed procedures such as the ECM-algorithm and the Gibbs sampler. All methods are motivated and illustrated by examples taken from the area of quantitative structure-activity relationships (QSAR).
Parametry knihy
Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics
2357 Kč
Angličtina
Osobní odběr Praha, Brno a 46632 dalších
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