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  1. autocorrelation - What does it mean for a time series to be ...

    May 17, 2023 · But as hinted, that is ignoring that autocorrelation should more accurately be referred to as an autocorrelation function. If that function is predictable (or even, deterministic) …

  2. What is autocorrelation function? - Cross Validated

    Nov 23, 2013 · That is the gist of autocorrelation, it is how correlated past data points are to future data points, for different values of the time separation. Typically, you'd expect the …

  3. What's the deal with autocorrelation? - Cross Validated

    [The presence of autocorrelation arises] because the model has been developed from time series data of energy use, which is inherently autocorrelated. Any purely deterministic model for time …

  4. Checking for autocorrelation in residuals - Cross Validated

    Jun 1, 2022 · The Durbin-Watson statistical test can be used to test the absence of auto-correlation in a time series, it has a value in $(0,4)$, with values close to $2$ corresponding to …

  5. time series - How to interpret autocorrelation of residuals and …

    Apr 10, 2013 · If the autocorrelation is significant, yes, this is a problem, since this implies, you missed to include some information. So e.g. your lag order is not sufficient. If the …

  6. What's the difference between multicollinearity and autocorrelation?

    Nov 11, 2020 · Autocorrelation is used for signals or time series. Autocorrelation is the correlation of the signal with a delayed copy of itself. Multicollinearity, which should be checked during …

  7. How to calculate the ACF and PACF for time series

    Oct 27, 2020 · I just started with time series analysis and I would like to know whether there is a formular for calculating the autocorrelation function (ACF) and the partial autocorrelation …

  8. How can I handle autocorrelated residuals? [duplicate]

    Leave the model specification intact and use heteroskedasticity and autocorrelation (HAC) robust standard errors. Let us examine the options in more detail: 1. See the answer by TPArrow. 2. …

  9. How to determine the critical values of ACF? - Cross Validated

    Dec 8, 2015 · Autocorrelation Confidence Interval Derivation and Ljung-Box Test. 1. ACF for long time series, trying to ...

  10. How to tell if residuals are autocorrelated from a graphic

    Jul 20, 2018 · The usual plot to look at would be an autocorrelation function (ACF) of residuals. The autocorrelation function is the correlation of the residuals (as a time series) with its own …

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