Estimation of Optimal Transformations Using v-Fold Cross Validation and Repeated Learning-Testing Methods

New methods for the estimation of optimal transformations of random variables are proposed here. These methods have a much wider applicability. The attractiveness of these methods is that they are computationally a lot less expensive than ordinary cross validation.