BUCHI NIRCal User Manual
Page 160
NIRCal 5.5 Software Manual
160
NIRCal 5.5 Manual, Version A
Row
Name
Description
82
Validity*
The V-Set regression coefficient should be near to 1:
1-VsetRegr. Validity should be close to 0
83
Comparability*
C- and V-Set should have similar high regression coefficient
of prediction:
Abs(CsetRegr-VsetRegr). Comparability should be close to 0
84
Precision*
V-Set standard error of prediction (BIAS corrected) should be
low:
SEP/Abs (Range)
85
Weighted Accuracy*
V-Set residual sum of squares=RSS should be low (not BIAS
corrected):
Abs(Sum((Orig-Predicted)^2)/Abs (Range)
* used with different weighting values.
Statistics of the C-Set
88
Property statistics
Selected property
90
C-Set BIAS
Always zero by definition.
91
C-Set SEE (SEC)
Standard error of estimation of the C-Set. Should be as small as
possible, but comparable to the standard deviation of the
laboratory method.
92
CV SECV
Standard error of estimation of the C-Set. Should be as small as
possible, but comparable to the standard deviation of the labor
method.
94
C-Set Regression
Coefficient
"r" shows, how well the predicted values of C-Set match the
original values on average. Should be as close to 1 as possible (r
> 0.9)
95
C-Set Regression
Intercept
r= a + bx, where "a"= intercept of the C-Set. Should be as close
to 0 as possible
96
C-Set Regression Slope
r= a + bx, where "b"= slope of the C-Set. Should be as close to 1
as possible