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32 - covariance matrix
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- ISO19157-3 quality measures
| Definitionskos:definition | Symmetrical square matrix with variances of point discrepancies on the main diagonal and covariance between these discrepancies as off-diagonal elements. |
|---|---|
| has broaderbroader | Positional Accuracy |
| has narrowernarrower | MD32_1 The covariance matrix generalizes the concept of variance from one to n dimensions, i.e. from scalar-valued random variables to vector-valued random variables (tuples of scalar random variables). |
| MD32_2 The covariance matrix generalizes the concept of variance from one to n dimensions, i.e. from scalar-valued random variables to vector-valued random variables (tuples of scalar random variables). | |
| MD32_3 The covariance matrix generalizes the concept of variance from one to n dimensions, i.e. from scalar-valued random variables to vector-valued random variables (tuples of scalar random variables). | |
| MD32_4 The covariance matrix generalizes the concept of variance from one to n dimensions, i.e. from scalar-valued random variables to vector-valued random variables (tuples of scalar random variables). | |
| MD32 | |
| titletitle | covariance matrix |
| Statusstatus | valid |
| VersionhasVersion | 1.0 |
| alternative labelaltLabel | variance-covariance matrix |
| Datedate | 2024-11-14 14:55:50.320 |
| Value DatatypevalueType | Real |
| Element NameelementName | absolute or external accuracy |
| Value StructurevalueStructure | Matrix |
| DescriptionmeasureDescription | MD32_1 |
| MD32_2 | |
| MD32_3 | |
| MD32_4 | |
| Measure IDmeasureID | 32 |