Optimal Correlation Preserving Linear Predictors of Factor Scores in Factor Analysis

抄録

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.