iv) Identifying outliers

The identification of outliers is part of the Internal Consistency metric. To compute extreme outliers the tool compares, for a given year, the rate to the median value of the three preceding years. Thus when the value is greater than 3 standard deviations from the mean it is considered as an extreme outlier.

We use cookies. By continuing to use our site, you agree to this. Details and objection options can be found in our privacy policy.
Use of third party offers

In addition to technically necessary ‘session’ cookies, this website uses Matomo tracking as well as video hosting from Youtube.com and Vimeo.com.

When you choose to play a video, your browser establishes a connection to third-party providers’ servers, which may automatically transmit your IP address as well as information about your browser, operating systems, date/time and the address of our website to them.

Tracking cookie from Matomo

Matomo is used in a GDPR-compliant manner, as it only collects and processes data within this website. It is used for non-personal tracking of user interaction.