Metrohm viva 1.0 (process analysis) - Manual (Page 606)

5.6 Evaluation subwindow
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viva 1.0 (for Process analysis)
tion curve. The minimum number p corresponds to the number of terms
in the calibration function.
Selection Linear regression | Quadratic regression | Non-
linear regression | Linear interpolation
Default value Linear regression
Evaluation start
Evaluation ratio Q/Q(0) with which the calculation of the regression for
the standards is to be started.
Input range 0.01 - 1.10
Default value 1.10
Evaluation parameters for sample
Curve type
Curve type for the evaluation of the calibration curve. Determines the type
according to which the calibration curve is to be fitted. A minimum num-
ber p of different effective addition volumes must exist for the sample
solution for the various curve types so that it is possible to fit this calibra-
tion curve. The minimum number p corresponds to the number of terms
in the calibration function.
Selection Linear regression | Quadratic regression | Non-
linear regression | Linear interpolation
Default value Linear regression
Selected curve
type Cali-
bra-
tion
func
tion
p
Linear regression y =
k(0)
+
k(1)
⋅ x
≥2
Quadratic
regression y =
k(0)
+
k(1)
⋅ x +
k(2)
⋅ x 2
≥3