A TEST STATISTIC IN CANONICAL CORRELATION ANALYSIS FOR CATEGORICAL VARIABLES

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概要

• 論文の詳細を見る

• In canonical correlation analysis (CCA), it is important to estimate the number of nonzero canonical correlations in the population. One way to estimate the number is to consider the dimensionality testing problem. In CCA for continuous variables, some test statistics for the problem have been derived under the normality assumption. However, there are only a few papers on test statistics in CCA for categorical variables. In this article, a test statistic in CCA for categorical variables is suggested. The test statistic is derived from the rational used for continuous variables. Some properties of the test statistic are examined through mathematical investigations and numerical simulations.

• 日本行動計量学会の論文

著者

• Sato Yoshiharu

  Graduate School Of Information Science And Technology Hokkaido University

• Sato Yoshiharu

  Graduate School Of Engineering Hokkaido University

• Aoki Kenji

  Graduate School of Information Science and Technology, Hokkaido University

• Aoki Kenji

  Graduate School Of Information Science And Technology Hokkaido University

関連論文

• A MINIMIZATION METHOD FOR COMPUTING PARAMETER BOUNDS IN AN INTERVAL VALUED LINEAR REGRESSION MODEL USING INTERVAL ANALYSIS(Theory and Applications)
• A TEST STATISTIC IN CANONICAL CORRELATION ANALYSIS FOR CATEGORICAL VARIABLES
• A METHOD TO DECIDE THE DIMENSION OF DATA BY THE MDL CRITERION(Multidimensional Data Analysis)

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