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1.
The elements of statistical learning: data mining, inference, and prediction/ Trevor Hastie, Robert Tibshirani, Jerome Friedman. by
  • Hastie, Trevor [author.]
  • Tibshirani, Robert [author.]
  • Friedman, J. H. (Jerome H.)
Series: Springer series in statistics
Edition: Second edition, corrected.
Publisher: New York: Springer, [2017]Manufacturer: 2017
Availability: Items available for loan: Castorina (2)Call number: 006.3 H356e 2017 IMPA TECH, ...

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2.
Modern Multivariate Statistical Techniques [electronic resource]: Regression, Classification, and Manifold Learning/ by Alan J. Izenman. by
  • Izenman, Alan J
  • SpringerLink (Online service)
Series: Springer Texts in Statistics
Source: Springer eBooks
; Format: electronic available online remote
Publication details: New York: Springer New York: Springer, 2008
Online access:
Availability: No items available.

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3.
Bayesian Networks and Influence Diagrams [electronic resource]: A Guide to Construction and Analysis/ by Uffe B. Kjærulff, Anders L. Madsen. by
  • Kjærulff, Uffe B
  • Madsen, Anders L
  • SpringerLink (Online service)
Series: Information Science and Statistics
Source: Springer eBooks
; Format: electronic available online remote
Publication details: New York: Springer New York, 2008
Online access:
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4.
Information Criteria and Statistical Modeling [electronic resource]/ by Sadanori Konishi, Genshiro Kitagawa. by
  • Konishi, Sadanori
  • Kitagawa, Genshiro
  • SpringerLink (Online service)
Series: Springer Series in Statistics
Source: Springer eBooks
; Format: electronic available online remote
Publication details: New York: Springer New York, 2008
Online access:
Availability: No items available.

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