Accession Number:

ADA123908

Title:

Estimating Optimal Transformations for Multiple Regression and Correlation.

Descriptive Note:

Technical rept.,

Corporate Author:

CALIFORNIA UNIV BERKELEY DEPT OF STATISTICS

Personal Author(s):

Report Date:

1982-07-01

Pagination or Media Count:

80.0

Abstract:

Nonlinear transformation of variables is a commonly used practice in regression problems. Two common goals are stabilization of error variance and asymmetrizationnormalization of error distribution. A more comprehensive goal, and the one we adopt, is to find those transformations that produce the best fitting additive model. Knowledge of such transformations aid in the interpretation and understanding of the relationship between the response and predictors.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE