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This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications. In addition to a historical review of the topic, its connection to other widely used statistical methods, such as multivariate analysis of variance (MANOVA), discriminant analysis, principal components, canonical correlation analysis, and errors-in-variables models, is also discussed.

This new edition incorporates Big Data methodology and i ...

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DETAILS

  • Multivariate Reduced-Rank Regression
  • Theory, Methods and Applications
  • Reinsel, Gregory C., Velu, Raja P., Chen, Kun
  • Kartoniert, xxi, 411 S.
  • XXI, 411 p. 33 illus., 13 illus. in color.
  • Sprache: Englisch
  • 235 mm
  • ISBN-13: 978-1-07-162791-4
  • Titelnr.: 96333586
  • Gewicht: 657 g
  • Springer, Berlin (2022)
  • Herstelleradresse

    Springer Heidelberg

    Tiergartenstr. 17

    69121 - DE Heidelberg

    E-Mail: buchhandel-buch@springer.com

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