eprintid: 1289 rev_number: 15 eprint_status: archive userid: 2 dir: disk0/00/00/12/89 datestamp: 2015-02-16 08:39:03 lastmod: 2017-02-08 12:21:36 status_changed: 2015-04-27 12:10:37 type: article metadata_visibility: show creators_name: Kijko, Andrzej creators_name: Singh, Mayshree creators_id: andrzej.kijko@up.a.za creators_id: singhm5@ukzn.ac.za corp_creators: Aon-Benfield Natural Hazard Centre, Pretoria University Pretoria, South Africa corp_creators: School of Civil Engineering, Surveying and Construction University of KwaZulu Natal, Durban, South Africa title: Statistical tools for maximum possible earthquake magnitude estimation ispublished: pub subjects: MP2_2 divisions: EPOS-P full_text_status: none keywords: mmax, earthquake magnitude distribution, maximum magnitude abstract: Several procedures for the statistical estimation of the regioncharacteristic maximum possible earthquake magnitude, mmax , are currently available. This paper aims to introduce and compare the 12 existing procedures. For each of the procedures given, there are notes on its origin, assumptions made in its derivation, condition for validity, weak and strong points, etc. The applicability of each particular procedure is determined by the assumptions of the model and/or the available information on seismicity of the area. date: 2011 date_type: published publication: Acta Geophysica volume: 59 number: 4 publisher: Versita, Warsaw and Springer-Verlag Berlin Heidelberg id_number: doi:10.2478/s11600-011-0012-6 refereed: TRUE issn: 1895-6572 official_url: http://dx.doi.org/10.2478/s11600-011-0012-6 access_IS-EPOS: limited owner: Publisher citation: Kijko, Andrzej and Singh, Mayshree (2011) Statistical tools for maximum possible earthquake magnitude estimation. Acta Geophysica, 59 (4). DOI: https://doi.org/10.2478/s11600-011-0012-6