96,29 €
106,99 €
-10% with code: EXTRA
Canonical Correlation Analysis
Canonical Correlation Analysis
96,29
106,99 €
  • We will send in 10–14 business days.
Recent advances in statistical methodology and computer automation are making canonical correlation analysis available to more and more researchers. This volume explains the basic features of this sophisticated technique in an essentially non-mathematical introduction that presents numerous examples. Thompson discusses the assumptions, logic, and significance testing procedures required by this analysis, noting trends in its use and some recently developed extensions.
  • SAVE -10% with code: EXTRA

Canonical Correlation Analysis (e-book) (used book) | bookbook.eu

Reviews

(3.71 Goodreads rating)

Description

Recent advances in statistical methodology and computer automation are making canonical correlation analysis available to more and more researchers. This volume explains the basic features of this sophisticated technique in an essentially non-mathematical introduction that presents numerous examples. Thompson discusses the assumptions, logic, and significance testing procedures required by this analysis, noting trends in its use and some recently developed extensions.

EXTRA 10 % discount with code: EXTRA

96,29
106,99 €
We will send in 10–14 business days.

The promotion ends in 15d.15:21:40

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 1,07 Book Euros!?

Recent advances in statistical methodology and computer automation are making canonical correlation analysis available to more and more researchers. This volume explains the basic features of this sophisticated technique in an essentially non-mathematical introduction that presents numerous examples. Thompson discusses the assumptions, logic, and significance testing procedures required by this analysis, noting trends in its use and some recently developed extensions.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)