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Covariance vs Covariation - What's the difference?

covariance | covariation |

As nouns the difference between covariance and covariation

is that covariance is a statistical measure defined as \scriptstyle\operatorname{Cov}(X, Y) = \operatorname{E}((X - \mu) (Y - \nu)) given two real-valued random variables X and Y, with expected values \scriptstyle E(X)\,=\,\mu and \scriptstyle E(Y)\,=\,\nu while covariation is covariance.

covariance

English

(wikipedia covariance)

Noun

(en noun)
  • (statistics) A statistical measure defined as \scriptstyle\operatorname{Cov}(X, Y) = \operatorname{E}((X - \mu) (Y - \nu)) given two real-valued random variables X'' and ''Y , with expected values \scriptstyle E(X)\,=\,\mu and \scriptstyle E(Y)\,=\,\nu.
  • (computing, programming) The conversion of data types from wider to narrower in certain situations.

    • See also

    * contravariance

    Derived terms

    * covariance matrix

    covariation

    English

    Noun

    (en noun)
  • covariance