Property f-test forward, Property interference, Property missing values – BUCHI NIRCal User Manual

Page 190: Property nearest neighbor, 58 property f-test forward, 59 property interference, 60 property missing values, 61 property nearest neighbor

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NIRCal 5.5 Software Manual

190

NIRCal 5.5 Manual, Version A

3.18.58

Property F-Test forward

Description

Significance of additional PCs.

Use

For secondary principal component selection.

Method

PCR / PLS

Matrices ID

38

Tip

Details

Alternative for proofing the robustness of a calibration with a backward
search operation is to start at a certain calibration checking for additional
PCs that will improve the SEP value significantly.

Related Topic

Property F-Test backward

3.18.59

Property Interference

Description

Interference = Property Score Extension / Property Nearest Neighbor

Use

Judgement of the influence of the property for the cluster separation.

Method

Cluster (CLU)

Matrices ID

61

Tip

Small interference indicates a good influence of the property for the
calibration.

Details

Property Interference is the relationship between the size of a cluster and
distance to the nearest property.
The interference values are listed in the calibration protocol.

Related Topic

Property Score Extension

,

Property Nearest Neighbor

3.18.60

Property missing Values

Description

Spectra, which have no defined property value (0 = value missing; 1 = value
available)
NOTE
This has no relevance in NIRCal file-mode, only in database-mode.

Use

Find spectra, which have no property value

Method

PCR / PLS / Cluster (CLU) / SIMCA / MLR

Matrices ID

115

Tip

Edit the property values in Manager Console/ Sample Management

Details

Spectra without property values can not be used for the C- and V-Set.

Related Topic

Original Property


Interpretation:

1 means: there is defined property value,

0 means: missing property value = there is no defined property value.

3.18.61

Property Nearest Neighbor

Description

The smallest Mahalanobis distance between the property mean to the next
property center.

Use

Judge the property separation.

Method

Cluster (CLU)

Matrices ID

60

Tip

High values indicate good separation.

Details

These values together with the next neighbors are listed in the calibration
protocol.

Related Topic

Scores

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