Karaca, Hakan2024-11-072024-11-0720212687-301Xhttps://doi.org/10.46464/tdad.996642https://search.trdizin.gov.tr/tr/yayin/detay/495519https://hdl.handle.net/11480/11613Several distribution models are used in order to model the distribution of the inter-event times of earthquakes. The performances of these models are mostly tested through goodness-of-fit tests but not through putting the models into application. Moreover, there is not a definitive conclusion about which model can be the best fitting one. Within this context, the objective of study is to test a number of distribution models in simulating the distribution of Turkish earthquakes in temporal domain. The earthquake time series are subjected to analysis for its IET distribution and future earthquakes are simulated by using Monte-Carlo techniques. The variation of number of earthquakes per unit time and the standard deviations are monitored for each IET model. Finally, log-normal distribution is identified as the most successful distribution model in modelling and simulating the earthquake time series. © 2022 Turk Deprem Arastirma Dergisi. All rights reserved.trinfo:eu-repo/semantics/openAccessInterevent Time DistributionMonte-Carlo algorithmSynthetic catalogArticle3219320710.46464/tdad.9966422-s2.0-85136262499Q4495519