Abstract
We consider the problem of estimating the mean squared error of prediction in the nonlinear regression case using the bootstrap and cross–validation approach.Emphasis is put on numerical economy in calculating the different estimates. For comparison,alterative proposals known from the literature are briefly discussed.Our in vestigation lead to the recommendation of some variants of bootstrap estimates.