A common validation technique compares the interpolation methods by first dividing known points into two samples: one sample for developing the model for each interpolation method to be compared and the other sample for testing the accuracy of the models. The diagnostic statistics of RMS and standardized RMS derived from the test sample can then be used to compare the methods. Validation may not be a feasible option if the number of known point is too small to be split into two samples.