行動計量学
Online ISSN : 1880-4705
Print ISSN : 0385-5481
36 巻 , 2 号
選択された号の論文の5件中1~5を表示しています
原著
  • 中西 寛子
    2009 年 36 巻 2 号 p. 67-80
    発行日: 2009年
    公開日: 2010/06/29
    ジャーナル フリー
    Compositional data consist of vectors of positive percentage values summing up to a unit. In this paper, we propose two variable selection rules for compositional data and two criteria for a recommended solution to select a subset of variables. The proposed rules are based on minor determinants of a variance-covariance matrix or a correlation matrix. They are the same as McCabe's (1984) idea for variable selection rules in principal component analysis. We apply the rules and the criteria to three real datasets and consider their performance. As a conclusion, the performance of the rule based on a minor determinant of a variance-covariance matrix is better than the other one. The rule is useful to apply, but further consideration would be necessary for applying the criteria to any datasets.
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