Apr 26 – 27, 2016
Royal Observatory of Belgium (ROB)
Europe/Brussels timezone
<a href="https://events.oma.be/indico/event/19/">Next Event: 2nd COST ES1206 sub-WG Workshop on Data Homogenisation in Warsaw, Poland, 23-25 January 2017</a>

Statistical method for change-point detection in daily and monthly time-series

Apr 26, 2016, 2:25 PM
Nadir Room (Royal Observatory of Belgium (ROB))

Nadir Room

Royal Observatory of Belgium (ROB)

Avenue Circualire, 3 1180 Uccle (Brussels) Belgium
Oral Presentation Technical Session on Homogenization Algorithms Technical Session on Homogenization Algorithms


Michal Elias (Geodetic Observatory Pecny, Czech Republic)


Unexpected changes in the time-series are caused by several (usually non-climatic) factors. We applied statistical approach to analyze change-point detection. The method is based on a second correlated series that can be relied on to be correct. In the presented work we also describe the critical values calculation that was used. Beside the main presented method we also applied other technique based on a very similar principles, yet providing different statistical evaluation.

Primary author

Michal Elias (Geodetic Observatory Pecny, Czech Republic)


Prof. Daniela Jaruskova (Czech Technical University in Prague. Czech Republic) Dr Jan Dousa (Geodetic Observatory Pecny, Czech Republic)

Presentation materials

There are no materials yet.