A Markov Renewal Chain Model for Forecasting Earthquakes in Bangladesh Region

Authors

  • Md Mohsan Khudri School of Business,Uttara University, Dhaka-1230, Bangladesh
  • - Md Asaduzzaman Institute of Statistical Research and Training, Dhaka University, Dhaka- 1000, Bangladesh

DOI:

https://doi.org/10.3329/dujs.v65i1.54500

Keywords:

earthquake forecasting; recurrence time; Markov renewal process; sojourn time distribution; Bangladesh

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 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 Bangladesh region.

Dhaka Univ. J. Sci. 65(1): 15-20, 2017 (January)

Downloads

Download data is not yet available.
Abstract
16
PDF
25

Downloads

Published

2017-01-05

How to Cite

Khudri, M. M., & Md Asaduzzaman, .-. (2017). A Markov Renewal Chain Model for Forecasting Earthquakes in Bangladesh Region. Dhaka University Journal of Science, 65(1), 15–20. https://doi.org/10.3329/dujs.v65i1.54500

Issue

Vol. 65 No. 1 (2017)

Section

Articles