Procedures for Estimating Standardized Regression Coefficients From Sample Data

作者: Lawrence S. Mayer , Mary Sue Younger

DOI: 10.1177/004912417400200403

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摘要: This paper is concerned with the role played by standardized regression coefficients in linear analysis. The model reparameterized to explicitly contain coefficients. Several estimators of these are considered. It shown that usual beta coefficient a good estimator random predictor variables. However, nonstochastic predictors, alternative better than coefficient. A sociological application included order display empirical behavior various estimators.

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