Concept information
Terme préférentiel
cross correlation
Définition
- In probability and statistics, the term cross-correlations refers to the correlations between the entries of two random vectors X and Y, while the correlations of a random vector X are the correlations between the entries of X itself, those forming the correlation matrix of X . If each of X and Y is a scalar random variable which is realized repeatedly in a time series, then the correlations of the various temporal instances of X are known as autocorrelations of X, and the cross-correlations of X with Y across time are temporal cross-correlations. In probability and statistics, the definition of correlation always includes a standardising factor in such a way that correlations have values between −1 and +1. (Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/Cross-correlation)
Concept générique
Traductions
-
français
-
intercorrélation
URI
http://data.loterre.fr/ark:/67375/MDL-HZLM8NBM-H
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}