NONPARAMETRIC TEST FOR EQUALITY OF INTERMEDIATE LATENT ROOTS IN NON-NORMAL DISTRIBUTION

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概要

• 論文の詳細を見る

• Two-sample problem is considered to test the equality of the intermediate latent roots of two covariance matrices assuming non-normal distributions. The nonparametric method known as the Moses rank-like test is proposed for principal component scores (PC-scores), and its efficiency is compared with the Ansari-Bradley test and F-test by Monte Carlo experiments. This testing procedure turns out to be very useful when the population latent roots are sufficiently distinct and the sample sizes increase.

• 日本計算機統計学会の論文

著者

• Sato Y

  Hokkaido Univ. Sapporo Jpn

• Ushizawa Kenji

  Sanno College

• Sato Yoshiharu

  Hokkaido University

• Sugiyama Takakazu

  Chuo University

関連論文

• NONPARAMETRIC TEST FOR EQUALITY OF INTERMEDIATE LATENT ROOTS IN NON-NORMAL DISTRIBUTION
• A GENERAL FUZZY CLUSTERING MODEL BASED ON AGGREGATION OPERATORS

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