autocorrelation

As nouns the difference between autocorrelation and correlogram

is that autocorrelation is (statistics|signal processing) the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods while correlogram is (mathematics) a graph that shows the correlation between two variables.

As nouns the difference between autocorrelation and covariance

is that autocorrelation is (statistics|signal processing) the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods while covariance is (statistics) a statistical measure defined as $\backslash scriptstyle\backslash operatorname\{cov\}(x,\; y)\; =\; \backslash operatorname\{e\}((x\; -\; \backslash mu)\; (y\; -\; \backslash nu))$ given two real-valued random variables x'' and ''y , with expected values $\backslash scriptstyle\; e(x)\backslash ,=\backslash ,\backslash mu$ and $\backslash scriptstyle\; e(y)\backslash ,=\backslash ,\backslash nu$.

is likely misspelled.

has no English definition.

As a noun autocorrelation

is the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods.

As nouns the difference between autocorrelation and autocovariance

is that autocorrelation is the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods while autocovariance is the covariance of a signal with another part of the same signal.

As nouns the difference between autocorrelation and multicollinearity

is that autocorrelation is the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods while multicollinearity is a phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, so that the coefficient estimates may change erratically in response to small changes in the model or data.

As nouns the difference between autocorrelation and crosscorrelation

is that autocorrelation is the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods while crosscorrelation is correlation between the corresponding members of different series.

As nouns the difference between autocorrelation and intercorrelation

is that autocorrelation is the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods while intercorrelation is mutual correlation between multiple things.

As nouns the difference between taxonomy and autocorrelation

is that taxonomy is the science or the technique used to make a classification while autocorrelation is (statistics|signal processing) the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods.

As a noun autocorrelation

is the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods.

As an adjective autocorrelational is

of or pertaining to autocorrelation.

As a noun autocorrelation

is (statistics|signal processing) the cross-correlation of a signal with itself: the correlation between values of a signal in successive time periods.

As a verb autocorrelated is

(autocorrelate).

As an adjective autocorrelated is

correlated via autocorrelation.