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Autocorrelation

Autocorrelation is the correlation of the data with itself, over a time period.

This technique can be useful to identify seasonal patterns or non-randomness in the data.

Below are presented the autocorrelation plots for each trace.


unimi/pmtr:


unimi/pmtr simulation:




upmc/rollernet:


upmc/rollernet simulation:




st_andrews/sassy:



st_andrews/sassy simulation:




upmc/content:
upmc/content simulation:



Updated on Jun 1, 2012 by Pedro Vieira (Version 3)


Attachments (8)

upmc_autocorr.png - on Jun 1, 2012 by Pedro Vieira (Version 1)

sassy_autocorr.png - on Jun 1, 2012 by Pedro Vieira (Version 1)

rollernet_autocorr.png - on Jun 1, 2012 by Pedro Vieira (Version 1)

pmtr_autocorr.png - on Jun 1, 2012 by Pedro Vieira (Version 1)

upmc.png - on Mai 28, 2012 by Pedro Vieira (Version 1)

sassy.png - on Mai 28, 2012 by Pedro Vieira (Version 1)

rollernet.png - on Mai 28, 2012 by Pedro Vieira (Version 1)

pmtr.png - on Mai 28, 2012 by Pedro Vieira (Version 1)