日本統計学会誌
Online ISSN : 2189-1478
Print ISSN : 0389-5602
ISSN-L : 0389-5602
AN ALGORITHM RELATED TO ALL POSSIBLE REGRESSION AND DISCRIMINANT ANALYSIS
Tomoyuki TarumiAkio Kudô
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ジャーナル フリー

1974 年 4 巻 2 号 p. 47-56

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抄録
In this paper, an algorithm related to all possible regression and discriminant analysis involving less than r components out of k is presented. For this purpose the modified binary increment is proposed to produce all possible subsets of size less than r out of K={1, 2, ……, k}. Refering to these subsets produced, our algorithm is designed to perform calculations successively. Two kinds of improvements over our previously proposed algorithms are presented and examined, with an explicit recommendation for the use of computers in the regression and discriminant analyses.
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© Japan Statistical Society
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