Rahmatullah Imon

Rahmatullah Imon

Professor of Mathematical Sciences

Phone:765-285-8650

Fax:765-285-1721

Room:RB 430


Degrees:

B.S. with Honors in Statistics, minors in Mathematics and Economics, University of Rajshahi, 1987
M.S. in Statistics, University of Rajshahi, 1988
Ph.D. in Mathematics and Statistics, University of Birmingham, 1996

Dr. Imon began his academic career as a Lecturer at the Department of Statistics, University of Rajshahi on July 1, 1992. He was promoted to Assistant Professor in 1995, to Associate Professor in 2000, and Full Professor in 2004. He joined the Department of Mathematical Science at Ball State University as an Associate Professor of Statistics in 2008 and was promoted to a Full Professor in 2012.

Dr. Imon has been able to establish himself as an expert in Regression Diagnostics, and Robust Regression and Outlier Detection. His other areas of interests are Multivariate Analysis, Statistical Inference, Sample Reuse Methods, Econometrics, Time Series Analysis, Statistical Computing and Graphics, Data Mining, Business Statistics, Environmental Statistics. Dr. Imon has published 135 research articles, book chapters in refereed journals, books and proceedings of international conferences so far. In 2011, was awarded Gopal Kanji Journal of Applied Statistics Prize by Taylor and Francis for his outstanding research activities. He has supervised 13 PhD, 4 M. Phil. and 30 M.Sc. research students. He has given more than 100 invited presentations in different institutions. Dr. Imon has served different academic institutions in different countries including Indian Statistical Institute Calcutta, Ball State University, American University in Cairo, Seoul National University, University Putra Malaysia, University of Malaya, and University Sains Malaysia. Dr. Imon holds position in a number of professional societies. He has been serving the International Statistical Institute as an elected member since 2005.

Selected Publications:

  • Imon, A.H.M.R. (2018). Golpe Golpe Parisankhyan (Statistics in Stories) in Bengali, Prothoma Prokashan, Dhaka (148 pages).
  • Imon, A.H.M.R. (2017). Introduction to Regression, Time Series, and Forecasting, Nandita Prokash, Dhaka (216 pages).
  • Imon, A.H.M.R. (2016).Introduction to Environmental Statistics, Nandita Prokash, Dhaka (180 pages).
  • Khan, A. R. and Imon, A.H.M.R. (2018). A Note on Information Theoretic Approaches to Principal Component Selection, American Journal of Mathematical and Management Sciences, (in press.)
  • Hadi, A. S. and Imon, A.H.M.R. (20**). Identification of Multiple Outliers in Spatial Data, Submitted for Publication, International Journal of Statistical Sciences.
  • Ghapor, A. A., Zubairi, Y. Z. and Imon, A. H. M. R. (2017). Missing Value Estimation Methods for Data in Linear Functional Relationship Model, Sains Malaysiana, Vol. 46, No. 2, pp. 317–326.
  • Nurunnabi, A.A.M., Nasser, M. and Imon, A.H.M.R. (2016). Identification and Classification of Multiple Outliers, High Leverage Points and Influential Observations in Linear Regression, Journal of Applied Statistics, Vol. 43, No. 3, pp. 509-525.
  • Alguraibawi, M., Habshah, M. and Imon, A.H.M.R. (2015). A New Robust Diagnostic Plot for Classifying Good and Bad High Leverage Points in a Multiple Linear Regression Model, Mathematical Problems in Engineering, Vol. 2015, Article ID 279472, 12 pages http://dx.doi.org/10.1155/2015/279472.
  • Rana, S., Fitrianto, A., Khor, W. J., Midi, H., and Imon, A.H.M.R (2015). Robust Feasible Generalized Least Squares: A Remedial Measure of Heteroscedasticity, International Journal of Applied Mathematics and Statistics, Vol. 53, No. 5, pp. 192-199.
  • Nurunnabi, A.A.M., Hadi, A.S. and Imon, A.H.M.R. (2014). Procedures for the Identification of Multiple Influential Observations in Linear Regression, Journal of Applied Statistics, Vol. 41, No. 6, pp. 1315-1331.
  • Das, K.R. and Imon, A.H.M.R. (2014). Geometric Median and Its Application in the Identification of Multiple Outliers, Journal of Applied Statistics, Vol. 41, No. 4, pp. 817-831.
  • Imon, A.H.M.R. and Hadi, A.S. (2013). Identification of Multiple High Leverage Points in Logistic Regression, Journal of Applied Statistics, Vol. 40, No. 12, pp. 2601-2616.
  • Rana, M.S., Habshah, M. and Imon, A.H.M.R. (2012). Robust Wild Bootstrap for Stabilizing the Variance of Parameter Estimates in Heteroscedastic Regression Model in the Presence of Outliers, Mathematical Problems in Engineering, 14 pages, Vol. 2012, doi: 10.1155/2012/730328.
  • Bagheri, A., Habshah, M. and Imon, A.H.M.R. (2012). A Novel Collinearity-Influential Observation Diagnostic Measure Based on a Group Deletion Approach, Communications in Statistics – Simulation and Computation Vol. 41, No. 8, pp. 1379 – 1396.
  • Nurunabi, A.A.M., Imon, A.H.M.R. and Nasser, M. (2011). A Diagnostic Measure for Influential Observations in Linear Regression, Communications in Statistics – Theory and Methods, Vol. 40, No. 7, 1169 – 1183.
  • Nurunabi, A.A.M., Imon, A.H.M.R. and Nasser, M. (2010). Identification of Multiple Influential Observations in Logistic Regression, Journal of Applied Statistics, Vol. 37, No. 10, pp. 1605 – 1624. .
  • Hadi, A.S., Imon, A.H.M.R. and Werner, M. (2009). Detection of Outliers, Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 1, No. 1, pp. 57 – 70.
  • Imon, A. H. M. R. (2009). Deletion Residuals in the Detection of Heterogeneity of Variances in Linear Regression, Journal of Applied Statistics, Vol. 36, No. 3, pp. 347 – 358.
  • Habshah, M., Norazan, R. and Imon, A.H.M.R. (2009) The Performance of Diagnostic-Robust Generalized Potentials for the Identification of Multiple High Leverage Points in Linear Regression, Journal of Applied Statistics, Vol. 36, No. 5, pp. 507 – 520.
  • Imon, A. H. M. R. (2008). Diagnostic Robust Approach of Outlier Detection in Regression, Journal of Statistical Research, Vol. 42, No. 2, pp. 105 – 120.
  • Imon, A.H.M.R. and Hadi, A.S. (2008). Identification of Multiple Outliers in Logistic Regression, Communications in Statistics – Theory and Methods, Vol. 37, No. 11, pp. 1697 – 1709.
  • Imon, A. H. M. R. and Davies, P. (2007). A New Graphical Display for Locating Multiple Influential Observations, High Leverage Points and Outliers in Linear Regression, International Journal of Statistical Sciences, Vol. 5 (Special issue in honour of Professor Mir Masoom Ali) pp. 315 – 330.
  • Alam, M. M., Imon, A. H. M. R. and Sinha, B. K (2006). Maximum Likelihood Estimation of a Finite Population Size, Journal of Statistical Theory and Applications, Vol. 5, No. 3, pp. 306 – 311.
  • Imon, A. H. M. R. (2005). Identifying Multiple Influential Observations in Linear Regression, Journal of Applied Statistics, Vol. 32, No. 9, pp. 929 – 946.
  • Davies, P., Imon, A. H. M. R. and Ali, M. M. (2004). A Conditional Expectation Method for Improved Residual Estimation and Outlier Identification in Linear Regression, International Journal of Statistical Sciences, Vol. 3 (Special issue in honor of Professor M.S. Haq), pp. 191 – 208.
  • Imon, A. H. M. R. (2003). Residuals from Deletion in Added Variable Plots, Journal of Applied Statistics, Vol. 30, No. 7, pp. 841– 855.
  • Imon, A. H. M. R. (2003). Regression Residuals, Moments, and Their Use in Tests for Normality, Communications in Statistics—Theory and Methods, Vol. 32, No. 5, pp. 1021 – 1034.
  • Imon, A. H. M. R. (2003). Simulation of Errors in Linear Regression: An Approach Based on Fixed Percentage Area, Computational Statistics, Vol. 18, No. 4, pp. 521 – 531.
  • Imon, A. H. M. R. (2002). On Deletion Residuals, Calcutta Statistical Association Bulletin, Vol. 52, Nos. 209–210, pp. 65 – 79.
  • Kamruzzaman, M. and Imon, A. H. M. R. (2002). High Leverage Point: Another Source of Multicollinearity, Pakistan Journal of Statistics, Vol. 18, No. 3, pp. 435 – 448.
  • Imon, A. H. M. R. (2002). Deletion Residuals and Deletion Weight Matrices: Some of Their Properties and Uses, Pakistan Journal of Statistics, Vol. 18, No. 3, pp. 469 – 484.
  • Imon, A. H. M. R. (2002). Identifying Multiple High Leverage Points in Linear Regression, Journal of Statistical Studies, Special Volume in Honor of Professor Mir Masoom Ali, pp. 207 – 218.