We perform a theoretical investigation of the variance of the cross-validation estimate of the generalization error that takes into account the variability due to the choice of training sets and test examples. This allows us to propose two new estimators of this variance. We show, via...

Cross-validation based point estimates of prediction accuracy are frequently reported in microarray class prediction problems. However these point estimates can be highly variable, particularly for small sample numbers, and it would be useful to provide confidence intervals of prediction...

The purpose of this article is to empirically examine the comparative accuracy of income oriented (Free cash flow to equity, Residual income model) and market oriented (Price to earnings multiple, Price to book value multiple and Price to sales multiple) valuation models for the Indian...