Cross-Validatory Choice and Assessment of Statistical Predictions

Abstract

Summary A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription. The examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.

Identifiers

DOI

10.1111/j.2517-6161.1974.tb00994.x

Citations and references