Impact the Temperature of Bangladesh: An Application of Markov Model

Authors

  • Janardan Mahanta University of Chittagong
  • Syed Tanjim Hossain University of Chittagong
  • Imtiaz Reza University of Chittagong

DOI:

https://doi.org/10.18034/apjee.v7i1.269

Keywords:

Temperature, Bangladesh, Markov Model

Abstract

Markov chain model has been used to analyze the temperature of Bangladesh. Different order Markov chain model has constructed and their significance has been tested. Using Cramer’s , strength the association of temperature with the order of Markov chain has been measured. Stationary probability has been calculated, and there have been employed whether the temperature is stationary or not.

Metrics

Metrics Loading ...

Downloads

Download data is not yet available.

Author Biographies

  • Janardan Mahanta, University of Chittagong

    Assistant Professor, Department of Statistics, University of Chittagong, Chittagong, BANGLADESH

  • Syed Tanjim Hossain, University of Chittagong

    Research Student, Department of Statistics, University of Chittagong, Chittagong, BANGLADESH

  • Imtiaz Reza, University of Chittagong

    Research Student, Department of Statistics, University of Chittagong, Chittagong, BANGLADESH

References

Anderson, T. W., & Goodman, L. A. (1957). Statistical inference about Markov chains. The Annals Mathematical Statistics , 89-110. DOI: https://doi.org/10.1214/aoms/1177707039

Chan, J. C. (2006). Comments on "Changes in tropical cyclone number, duration and intensity in a warming environment. Science , 311, 1713. DOI: https://doi.org/10.1126/science.1121522

Feller, W. (1957). An introduction to probability theory and its applications (2nd ed., Vol. 2). New York: John Wiley & Sons.

Gabriel, K. R. & Neumann, J. (1962). A Markov chain model for daily rainfall occurrence at Tel Aviv, Quarterly Journal of Royal Meteorological Society. 83, 90-95.

Haque, M. Z., Quayyam, H. A., Hossian, M. M., & Islam, M.S. (1992) Occurrence of grain sterility in different rice crops. Bangladesh Bureau of Statistics (BBS), 117-124.

Harmeling, S. (2008) .Weather-related loss and Their Impacts on Countries in 2007 and in a Long Term Comparison. 5-8.

IUCN, Bangladesh (2011). Protocol for Monitoring of Impacts of Climate Change and Climate Variability in Bangladesh. Dhaka, Bangladesh.

Karim, Z. (1993). Preliminary Agricultural Vulnerability Assessment: Drought Impacts due to Climate Change in Bangladesh. IPCC Eastern Hemisphere Workshop on Vulnerability Assessment to Sea-Level Rise and Coastal Zone Management.

Mahanta, J., Nath, S. K., & Rashid, M. H. (2016). Using Markov analysis to study the impact of temperature in Bangladesh. Asia Pacific Journal of Energy Environment , 3 (3), 105-112.

Medhi, J. (1984). Stochastic Process. New age international publishers.

Peterson, T. C., X.Zhang, M. B., & Aguirre, J. L. (2008). Changes in North American extremes derived from daily weather data. J. Geophys. Res , 113. DOI: https://doi.org/10.1029/2007JD009453

Rosenberg, S., Vedlitz, A., Cowman, D., & Zahran, S. (2010). Climate change: a profile of U.S. climate scientists perspective. Clim Chang , 101 (3-4), 663-668.

Sahney, S., Benton, M. J., & Ferry, P. (n.d.). "Link between global taxonomic diversity, ecological diversity and the expansion of vertebrates on land". Biology Letters .

Sinha, N. C., & Paul, J. C. (1992). Analysis of daily rainfall occurrance for Sylhet Station: An application of Markov model. Bangladesh J. Sci. Res , 10 (1), 95-102.

Stern, R. D. & Coe, R. (1984). A model fitting analysis of daily rainfall data, Journal of Royal Statistical Society, Ser. A. 147, 1-34.

Whittle, P. (1955). Some distribution and moment formulae for the Markov chain. Journal of Royal Statistical Society , 235-242. DOI: https://doi.org/10.1111/j.2517-6161.1955.tb00197.x

World Bank (2000). Bangladesh: Climate Change & Sustainable Development. Report No. 21104. Dhaka, Bangladesh.

-- 0 --

Downloads

Published

2020-01-28

Issue

Vol. 7 No. 1 (2020): January - June Issue

Section

Articles

License

The CC BY-NC 4.0 license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge & be non-commercial, they don’t have to license their derivative works on the same terms.
|| View License Deed ||
|| View Legal Code ||
 
Publishing paper with Asia Pacific Journal of Energy and Environment means that the author or authors retain the copyright in the paper.
This journal is granted an exclusive noncommercial reuse license by the author(s), but the author(s) are able to put the paper onto a website, distribute it to colleagues, give it to students, use it in your thesis, etc, so long as the use is not directed at commercial advantage or toward private monetary gain.
The author(s) can reuse the figures and tables and other information contained in their paper published by Asia Pacific Journal of Energy and Environment in future papers or work without having to ask anyone for permission, provided that the figures, tables or other information that is included in the new paper or work properly references the published paper as the source of the figures, tables or other information, and the new paper or work is not direct at private monetary gain or commercial advantage.

How to Cite

Mahanta, J. ., Hossain, S. T. ., & Reza, I. . (2020). Impact the Temperature of Bangladesh: An Application of Markov Model. Asia Pacific Journal of Energy and Environment, 7(1), 7-14. https://doi.org/10.18034/apjee.v7i1.269