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  • 标题:Optimal Correlation Preserving Linear Predictors of Factor Scores in Factor Analysis
  • 本地全文:下载
  • 作者:Kazumasa Mori ; Hiroshi Kurata
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2013
  • 卷号:43
  • 期号:1
  • 页码:79-89
  • DOI:10.14490/jjss.43.79
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:This paper studies a prediction problem of factor scores with correlation-preserving linear predictors. We deal with three new risk functions that are obtained by modifying some typical risk functions in the literature, and derive optimal correlation-preserving linear predictors with respect to them. A necessary and sufficient condition for an identical equality among the predictors to hold is also derived.
  • 关键词:Correlation-preserving predictor;factor analysis;factor scores;linear predictor;risk matrix;mean squared error matrix
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