Key Points Autocorrelation is a correlation derived from a time series variable and its values over a given period. It is ...

In the preceding section, it is assumed that the order of the autoregressive process is known. In practice, you need to test for the presence of autocorrelation. The AUTOREG procedure output is shown ...

When regression is performed on time series data, the errors may not be independent. Often errors are autocorrelated; that is, each error is correlated with the error ...

Scientists measure the variability in musical pieces. Music is widely known to evoke emotions, but how exactly do these ...

Physicists at the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) have investigated to which extent a piece ...

In a paper published recently in the journal Nature Communications, they used time series analysis to infer the ...

QUT data scientists, as part of an international study, have developed an enhanced statistical method to monitor the quality ...

While equities are booming, bond markets have been waving caution-flags for some time, with the sell-off in US Treasuries ...

This article details how the nanoflowsizer is used for continuous size monitoring of turbid titanium dioxide nanosuspensions.

Background The incidence of lung cancer is unequally distributed in France. Although several studies have shown a link ...