Skip to main content

Currently Skimming:


Pages 295-296

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 295...
... APPENDIX G 295   Let y1 ,  , y n be the observed values and y1 , … , y n be the predicted val  ues; let the mean of the observed values be yy¯ = 1 n∑ y i ; the mean  of the predicted values be y = 1 n∑ y 1 ; the residual sum of square be  2 and the total sum of squares be SS = ( y − y )
From page 296...
... Parameter estimates from the TEE equations developed on the main data set were used to calculate the predicted values of TEE on the external data, and those predicted values were compared to the observed (Mean) TEE values in the external validation data using the same measures described above, such as the R-squared and Pearson correlation of observed vs predicted values, as a measure of model fit and performance.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.