COMPARISON OF DISCRIMINANT FUNCTIONS OF THE ESTIMATIVE METHOD AND THE TEST PROCEDURE

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概要

• 論文の詳細を見る

• In this paper, we discuss the problem of statistical classification into one of two multivariate normal populations. Two classification rules known as a test procedure (likelihood ratio criterion) and an estimative method (plug-in method) are compared based on their asymptotic risks when the sample sizes are large and based on the risks obtained by simulation when one of the sample sizes is small. The test procedure appears to be better than the estimative method for reasonable values of the population parameters.

• 日本計算機統計学会の論文

著者

• Yamashita Toshie

  Department Of Mathematics Chuo University

関連論文

• SELECTION AND ORDERING OF VARIABLES IN DISCRIMINANT ANALYSIS AND APPLICATION TO BEHRENS-FISHER MODEL
• COMPARISON OF DISCRIMINANT FUNCTIONS OF THE ESTIMATIVE METHOD AND THE TEST PROCEDURE
• Selection and ordering of variables in discriminant analysis
• ROBUSTNESS OF LINEAR DISCRIMINANT ANALYSIS

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