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Property score disorder, Property score extension, Property wavelength regression – BUCHI NIRCal User Manual

Page 192: Quant calib. statistics, 64 property score disorder, 65 property score extension, 66 property wavelength regression, 67 quant calib. statistics

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NIRCal 5.5 Software Manual

192

NIRCal 5.5 Manual, Version A

3.18.64

Property Score Disorder

Description

Property Score Disorder: number of different property spectra according the
scores of different PC.

Use

Useful for secondary PCs selection in higher dimensional space (> 3).

Method

Cluster (CLU)

Matrices ID

57

Tip

The smallest number of property score disorder = (number of selected
property -1). This value indicates a clear separation of the different
properties.

Details

Small disorder values indicate a clear separation (how many times the color
is changing with the score of a PC). Property Score Disorder is calculated
only for the C-Set spectra.

Related Topic

Scores

,

Secondary PCs

,

Property Score Diffusion


Disorder = Sum (Property Score Diffusion) * (number of C-Set spectra) / (number of property)

3.18.65

Property Score Extension

Description

Property Score Extension: the maximal distance between two C-Set spectra
of the same property.

Use

Useful for secondary PCs selection in higher dimensional space (> 3).

Method

Cluster (CLU) / SIMCA

Matrices ID

59

Tip

Small values indicates good reproducibility and repeatability. PCs with small
extension are prefered for secondary PC selection.

Details

Property Score Extension is calculated only for the C-Set spectra. The
extension values are listed in the calibration protocol.

Related Topic

Scores

,

Property Score Disorder

,

Property Score Diffusion

3.18.66

Property Wavelength Regression

Description

Contains all regression coefficients between each wavelength of all the
calibration set spectra and the property value.

Use

In a 2D-plot very useful to optimize the wavelength selection for all
properties. Especially useful for quantitative methods.

Method

all but not SIMCA

Matrices ID

44

Tip

Absolute values near 1.0 shows strong wavelength dependencies with the
corresponding property.

Details

Dependencies:

pretreatments

C-Set spectra

Calibration property

Related Topic

Property Spectra

3.18.67

Quant Calib. Statistics

Description

Contains all statistics of the quantitative calibration protocol.

Use

Use it as a fast or short protocol.

Method

MLR / PCR / PLS

Matrices ID

42

Tip

Open this matrix as Table (Grid).

Details

Summary of the relevant statistics matrices.

Related Topic