Tamura and Kondo (1980) utilized the prediction of sum-of-squares or Akaikes's information criterion as parameter selection indicators.
This study aimed to build a nomogram for the prediction of Gleason sum upgrading in clinically diagnosed prostate cancer.
Therefore the sum of the heat lost from the plastron, carapace and flippers (ie. qT) will allow prediction of total heat produced (Table 1 and 2).
All prediction residuals were then combined to compute the predicted residual of sum of squares (PRESS) [ 20].
For this purpose, methods such as residual analysis, scaling residual, prediction error sum of squares residual, and testing of the lack of fit can be applied.
Thus, the climate change prediction of decreasing precipitation sums in summer is on the whole likely to exacerbate the situation in areas which are already susceptible to drier summer seasons.
Finally, a prediction error term is calculated, the prediction error sum of squares (PRESS), defined as: where cvObs is the number of observations in the test set, Y i is the observed value for observation i in the test set and Ŷ I is the predicted value for the same observation.
The predicted values of left-out samples were then compared to the observed values using prediction error sum of squares PRESS) which indicating the residuals are computed in cross-validation.
When determining the number of factors, examination of the prediction residual error sum of squares (PRESS) or standard error of cross validation (SECV) curves can help to identify the most suitable number of factors for each model.
The model was verified by several statistical techniques such as residual analysis, scaling residuals and prediction error sum of squares (PRESS).
The PRESS (prediction residual sum of squares) graphs shown use an adjusted regression method employed to prevent overfitting, as a 'leave one out method'.
