Abstract
In this study, the conditional probability of 24 January 2020 Sivrice (Elazığ) earthquake was calculated by applying four different statistical distribution models (Weibull, Rayleigh, exponential and log-normal distribution models). For these calculations, the recurrence periods of M≥4.7 earthquakes that occurred between 1900 and 2019 in the region were used. The fitting between the models and the data was evaluated with three different test criteria (Likelihood value (lnL), Akaike and Bayesian information criteria). Log-normal model was determined as the model that best represents the study data. According to the results of the study, the conditional probability values of the Elazig (Sivrice) earthquake (for t = 0 and te = 2) were calculated as 80% to the log-normal model, as 72% to the exponential model, as 70% to the Weibull model, and as 36% to the Rayleigh model.