%0 Journal Article
%@ 1895-6572
%A Kijko, Andrzej
%A Singh, Mayshree
%A Aon-Benfield Natural Hazard Centre, Pretoria University Pretoria, South Africa,
%A School of Civil Engineering, Surveying and Construction University of KwaZulu Natal, Durban, South Africa,
%D 2011
%F epos:1289
%I Versita, Warsaw and Springer-Verlag Berlin Heidelberg
%J Acta Geophysica
%K mmax, earthquake magnitude distribution, maximum magnitude
%N 4
%T Statistical tools for maximum possible earthquake magnitude estimation
%U https://episodesplatform.eu/eprints/1289/
%V 59
%X 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.