A Markov Renewal Chain Model for Forecasting Earthquakes in Bangladesh Region

Khudri, M. M. and Asaduzzaman, M. (2017), "A Markov Renewal Chain Model for Forecasting Earthquakes in Bangladesh Region", Dhaka University Journal of Science, Vol. 65 No. 1, pp.15-20

6 Pages Posted: 20 Jun 2020

Date Written: January 2017

Abstract

In this paper, we have proposed a Weibull Markov renewal process to model earthquakes occurred in and around Bangladesh from 1961 to 2013. The process assumes that the sequence of earthquakes is a Markov chain and the sojourn time distribution is a Weibull random variable that depends only on two successive earthquakes. We estimated the parameters of the models along with transition probabilities using the maximum likelihood method. The transient behavior of earthquake occurrences was investigated in details and probability forecasts were calculated for different lengths of time interval using the fitted model. We also investigated the stationary behavior of earthquake occurrences in the Bangladesh region.

Keywords: Earthquake Forecasting; Recurrence Time; Markov Renewal Process; Sojourn Time Distribution; Bangladesh

Suggested Citation

Khudri, Md. Mohsan, A Markov Renewal Chain Model for Forecasting Earthquakes in Bangladesh Region (January 2017). Khudri, M. M. and Asaduzzaman, M. (2017), "A Markov Renewal Chain Model for Forecasting Earthquakes in Bangladesh Region", Dhaka University Journal of Science, Vol. 65 No. 1, pp.15-20 , Available at SSRN: https://ssrn.com/abstract=3611500

Md. Mohsan Khudri (Contact Author)

University of Memphis ( email )

Memphis, TN 38152
United States

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