Mohammad Samsul Alam

Assistant Professor

Office: Room No. 408, ISRT Building (on study leave)




MS in Applied Statistics


Research Interests

Statistical Inference, Sampling, Experimental Design, Multivariate Techniques, Spatial and Spatio-temporal Modeling, Bayesian Inference, Computational Statistics, Time Series Analysis.


  • Hossain, S.S. and Alam, M.S. (2017). MISSPECIFICATION EFFECT IN BOOTSTRAP VARIANCE ESTIMATION FOR ESTIMATORS OF THE POPULATION MEAN. Far East Journal of Theoretical Statistics, 53(1), 1-18.
  • Alam, M.S. and Hossain, S.S. (2016). A Geostatistical Approach to Predict the Average Annual Rainfall of Bangladesh. Journal of Data Science, 14(1), 149-165.
  • Ahmed, M.K., Alam, M.S., Yousuf, A.H.M. and Islam, M. M. (2016). A long-term trend in precipitation of different spatial regions of Bangladesh and its teleconnections with El Nino/Southern Oscillation and Indian Ocean Dipole. Theoretical and Applied Climatology, 1-14.
  • Mohammad Samsul Alam, Syed Shahadat Hossain & Farha Ferdous Sheela (2019): Spatial smoothing of low birth weight rate in Bangladesh using Bayesian hierarchical model, Journal of Applied Statistics, 46(10), 1870-1885, Tylor & Francis.
  • Mohammad Samsul Alam, & Sangita Paul (2019): A comparative analysis of clustering algorithms to identify the homogenous rainfall gauge stations of Bangladesh, Journal of Applied Statistics,