Howtosignalprocessing
- What is difference between autocorrelation and partial autocorrelation?
- What is difference between autocorrelation and correlation?
- What's the difference between ACF and PACF?
What is difference between autocorrelation and partial autocorrelation?
Autocorrelation function (ACF). At lag k, this is the correlation between series values that are k intervals apart. Partial autocorrelation function (PACF). At lag k, this is the correlation between series values that are k intervals apart, accounting for the values of the intervals between.
What is difference between autocorrelation and correlation?
It's conceptually similar to the correlation between two different time series, but autocorrelation uses the same time series twice: once in its original form and once lagged one or more time periods. For example, if it's rainy today, the data suggests that it's more likely to rain tomorrow than if it's clear today.
What's the difference between ACF and PACF?
The difference between ACF and PACF is the inclusion or exclusion of indirect correlations in the calculation. Additionally, you can see a blue area in the ACF and PACF plots. This blue area depicts the 95% confidence interval and is an indicator of the significance threshold.
