Md Sohel Rana
PHONE

Office: 432

EMAIL

srana@ewubd.edu

PERSONAL WEB

Dr. Md. Sohel Rana

Associate Professor
Department of Mathematical and Physical Sciences

  • Ph.D (Statistics), University Putra Malaysia
  • Masters: Statistics, University of Rajshahi
  • Bachelor: Statistics, University of Rajshahi

Journal Publication

International

Publications in International Journals:

  1. Saadati, M, Bagheri, A and Rana, S (2018). Application of Classification and Regression Trees Algorithm to Classify Children Ever Born: BDHS 2011, Malaysian Journal of Mathematical Sciences,  12(3), pp. 401–419.
  2. Sleabi, W.D., Rana, S., Alshaybawee, T and Midi, H. (2018). The single-index support vector regression model to address the problem of high dimensionality, Communications in Statistics – Simulation and Computation, 47 (9), pp. 2792-2799.
  3. Rana, S., Sleabi, W.D. and Midi, H. (2018). Fixed Parameters Support Vector Regression for Outlier Detection.  Economic Computation and Economic Cybernetics Studies and Research. 52(2), pp. 267-292.
  4. Ahmed Kadom, A, Midi, H. and Rana, S. (2018) The Performance of k-means Clustering Method based on Robust Principal Components, Far East Journal of Mathematical Sciences, 103(11), pp. 1757-1767.
  5. Sleabi, W.D., Rana, S.and Midi, H. (2017). A high breakdown, high efficiency and bounded influence modified GM estimator based on support vector regression, Journal of Applied Statistics, 44 (4), pp. 700-714.
  6. Uraibi, H, Midi, H. and Rana, S. (2017). Selective overview of forward selection in terms of robust correlations, Communications in Statistics – Simulation and Computation,  46(7), pp. 5479-5503.
  7. Sleabi, W.D., Rana, S. , Alshaybawee, T and Midi, H. (2017). Elastic Net for Single Index Support Vector Regression Model,  Economic Computation and Economic Cybernetics Studies and Research,  51(2), 195-210.
  8. Uraibi, H, Midi, H. and Rana, S. (2017). Robust multivariate Least Angle Regression, ScienceAsia, Vol 43, 56–60.
  9. Mahmood, E.A., Midi, H., Rana, S.,  and Hussin, A.G (2017). Robust Circular Distance and its Application in the Identification of Outliers in the Simple Circular Regression Model , Asian Journal of Applied Sciences, 10(3), pp. 126 – 133.
  10. Mahmood, E.A., Rana, S., Hussin, A.G and Midi, H. (2017). Adjusting Outliers in Univariate Circular Data, Partanika Journal of Science and Technology, Vol 25(4), 1147 – 1158.
  11. Midi, H., Mahdi, O. and Rana, S. (2017). Diagnostic Robust Generalised Potentials based on GM6 to Identify High Leverage Points in Simultaneous Regression Model,  Far East Journal of Mathematical Sciences,  101(8), pp.1785-1800.
  12. Mahmood, E.A., Rana, S., Midi, H. and Hussin, A.G (2017). Detection of Outliers in Univariate Circular Data using Robust Circular Distance, Journal of Modern Applied Statistical Methods, 17(2), pp. 418 – 432.
  13. Mamun, A.S.M.A., Zubairi, Y. Z., Hussin, A.G., Imon, A.H.M.R and Rana, S (2017). Small-Sample Confidence Interval for the Slope of Linear Structural Relationship Model, Electronic Journal of Applied Statistical Analysis,  10(2), pp. 374-383.
  14. Hanafi, M.H,  Noor,N.M,  Rana, S and Saad, F.F.A (2017). Standardisation Techniques of Independent PET/CT Modalities utilising PET SUVmax as a Potential Conversion Marker, Transylvanian Review, 25(21).
  15. Shazreen, S., Rana, S., Shakher, R., Cheah, Y.Q., Malini, V.K., Shahrun Niza, A.S., Saladina, J.J. and Fathinul Fikri, A.S. (2017). The value of 18f-fluorodeoxyglucose and MRI DWI in underpinning cellular reprogramming in breast cancer, International Journal of Development Research, Vol. 07, Article ID: 6461, 5 page.
  16. Rana, S., Mahmood, E.A., Midi, H. and Hussin, A.G (2016). Robust Detection of Outliers in Response and Explanatory Variables of the Simple Circular Regression Model, Malaysian Journal of Mathematical Sciences, Vol. 10 (3), pp. 399–414.
  17. Rana, S., Sleabi, W.D. and Midi, H. (2016). A Hybrid Technique for Selecting Support Vector Regression Parameters Based on a Practical Selection Method and Grid Search Procedure, Economic computation and economics cybernetics studies and research.50(2), 231–246.
  18. Peng, L.Y, Midi, H., Rana, S and Fitrianto, A (2016). Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables, Mathematical Problems in Engineering, Volume 2016 (2016), Article ID 5840523, 9 pages.
  19. Hasan M. N., Rana, S., Malek, M. B., Das, K. R. and Sultana N. (2016). Modeling Bangladesh’s Gross Domestic Product Using Regression Approach, Malaysian Journal of Mathematical Sciences, Volume10(2): 233-246.
  20. Mamun, A.S.M.A., Zubairi, Y. Z., Hussin, A.G.and Rana, S (2016). A comparison of missing data handling methods in linear structural relationship model: evidence from BDHS2007 data, Electronic Journal of Applied Statistical Analysis, 09 (1), 124-135.
  21. Jiin, R.L.T, Anwar Fitrianto, Rana, S, Midi, H.(2015). An Alternative Identification of Influential points in Cox Proportional Hazards Model, International Journal of Applied Mathematics & Statistics, 53 (5), pp. 187 – 191.
  22. Sleabi, W.D., Rana, S. and Midi, H. (2015). Non-sparse -insensitive Support Vector  Regression for Outlier Detection, Journal of Applied Statistics, 42(8),  1723–1739.
  23. Rana, S., Fitrianto, A, Wen Jie, K., Midi, H. and A.H.M.R. Imon (2015). Robust feasible generalized least squares: A remedial measures of heteroscedasticity, International Journal of Applied Mathematics & Statistics, 53 (5), pp. 192 – 199.
  24. Mohammed, M.A., Midi, H. and Rana, S (2015). Robust Jackknife Ridge Regression to Combat Multicollinearity and High Leverage Points, Economic computation and economics cybernetics studies and research. Vol.49 (4), 305-322.
  25. Baba, I., Midi, H., Rana, S.and Gafurjan, I., (2015). An Alternative Approach of Dual Response Surface Optimization Based on Penalty Function Method, Mathematical Problems in Engineering, vol. 2015, Article ID 450131, 6 pages, 2015. DOI:10.1155/2015/450131.
  26. Uraibi, H, Midi, H. and Rana, S. (2015). Robust Stability Best Subset Selection for Autocorrelated Data Based on Robust Location and Dispersion Estimator, Journal of Probability and Statistics, Vol. 2015, Article ID 432986, 8 pages, DOI: DOI 10.1155/2015/432986.
  27. Rana, S., Happy John.,A ,Midi, H. and A.H.M.R. Imon (2015). The Performance of Robust Regression Imputation for Missing data in the Presence of Outliers, Far East Journal of Mathematical Sciences, 97(2), pp. 183-195.
  28. Midi, H., Rana, S. and Imon, A. H.M.R (2014). Two Step Robust Estimator in Heteroscedastic Regression Model in the presence of Outliers, Economic Computation and Economic Cybernetics Studies and Research. Volume 48 (3), 255-272.
  29. Siraj-Ud-Doulah M., Rana, S. and Midi, H (2014). Model Recognition by using Principal Component analysis (PCA) approach. Chiang Mai Journal of Science, Volume 41(1), pp. 224-230.
  30. Marikkar, J.M.N. and Rana, S. (2014). Use of Differential Scanning Calorimery to detect Canola Oil (Brassica napus L) Adulterated with Lard Stearin, Journal of Oleo Science, Volume 63(9), 867 – 873.
  31. Fitrianto, A., Wijayanto, H., Rana, S. and Voon, Y.C. (2014). Median Polish for Final Grades of MTH3000- and MTH4000- Level Courses, Applied Mathematical Sciences, Volume 8, 6295 – 6302.
  32. Rana, S., Midi, H and Fitrianto A. (2013). Statistical Significance of Rank Regression. Applied Mathematical Sciences, Vol. 7(82), 4067 – 4072.   
  33. Rana, S., Habshah Midi and S.K. Sarkar (2013). Determinants of Desire for Children: A Multinomial Logistic Regression Approach, Life Science Journal, Volume 10 (2), pp. 1460 – 1467.
  34. Farid, H., Ismail I. A., Sadeghi and Rana, S. (2013) Propelling the Innovation Speed for Malaysian Biotechnology Products, Life Science Journal, Volume 10 (3), pp. 503 – 510.
  35. Midi, H. Ann, H. L. and Rana, S. (2013). On the Robust Parameter Estimation for Linear Model with Autocorrelated Errors. Advanced Science Letters, Volume 19 (8), pp.  2494 – 2496.
  36. Rana, S., Midi, H. and Imon, A.H.M.R. (2012). Robust Wild Bootstrap for Stabilizing the Variance of Parameter Estimates in Heteroscedastic Regression Models in the Presence of Outlier Mathematical Problems in Engineering, Volume 2012, Article ID 730328, 14 pages. doi:10.1155/2012/730328.
  37. Rana, S., Siraj-Ud-Doulah, M., Midi, H. and Imon, A.H.M.R. (2012). Decile Mean: A New Robust Measure of Central Tendency. Chiang Mai Journal of Science, 39(3), pp. 478-485.
  38. Farid H., Ismail, I. A., Sarkar, S.K. and Rana S. (2012). Optimizing Success in Biotechnology Innovation Adoption: Comparing the Perspectives of Academic Researchers and Biotechnology Companies Officers. Archives Des Sciences, 65 (8), pp. 513-525.
  39. Siraj-Ud-Doulah M., Rana, S. and Midi , H. (2012). New Robust Tests for the Detection of ARCH Effect. Economic Computation and Economic Cybernetics Studies and Research, 46 (1/2012), 251-259.
  40. Farid H., Sadeghi Z. and Rana S. (2012). An Evaluation of Online Shopping and Its Effect on Customers’ Satisfaction and Behaviour in Malaysia. Journal of American Science, Vol. 8(7), pp. 704-707.
  41. Farid H., Sadeghi Z. and Rana S. (2012). Measurement and Mutual Perception of Online Customers satisfaction in malaysia. Middle-East Journal of Scientific Research, Vol. 12(1), pp. 11-18.
  42. Midi, H., Sarkar, S.K. and Rana, S. (2011). Adequacy of Multinomial Logit Model with Nominal Responses over Binary Logit Model. Trends in Applied Sciences Research,6 (8), pp. 900-908.
  43. Midi, H., Rana, S., and Nur Afzan Mat Said (2011). The Application of Two Stage Robust Weighted Least Squares and Robust Bootstraping Procedure on Food Expenditure Data, International Journal of Applied Mathematics & Statistics, Vol.20 (M11), pp. 25-37.
  44. Sarkar, S. K., Midi, H., and Rana, S. (2011). Detection of Outliers and Influential Observations in Binary Logistic Regression: An Empirical Study, Journal of Applied Sciences, Vol.11(1), pp. 26-35.
  45. Midi, H., Rana, S., and Sarkar, S. K. (2010).Binary Response Modeling and Validation of its Predictive Ability, WSEAS Transition of Mathematics, Vol. 9(6) , 438-447.
  46. Sarkar, S. K., Midi, H., and Rana, S. (2010). Collinearity Diagnostics of Binary Logistic Regression Model, Journal of Interdisciplinary Mathematics, 13(3), pp. 253-267.
  47. Sarkar, S.K., Midi, H. and Rana, S. (2010). Model Selection in Logistic Regression and Performance of its Predictive Ability. Australian Journal of Basic and Applied Sciences, 4(12), 5813-5822.
  48. Rana, S., Midi, H. and, Imon, A.H.M.R. (2009). A Robust Rescaled Moment Test for Normality in Regression, Journal of Mathematics and Statistics, Vol. 5(1), pp. 54-62.
  49. Midi, H., Rana, S., and, Imon, A.H.M.R. (2009). The Performance of Robust Weighted Least Squares in the Presence of Outliers and Heteroscedastic Errors, WSEAS Transactions on Mathematics, 8(7), pp. 351-361.
  50. Midi, H., Rana, S., and Imon, A.H.M.R. (2009). Estimation of Parameters in Heteroscedastic Multiple Regression Model Using Leverage Based Near-Neighbors, Journal of Applied Sciences, Vol. 9(22), pp. 4013-4019.
  51. Rana, S., Midi, H. and Imon, A.H.M.R.(2008). A Robust Modification of the Goldfeld-Quandt Test for the Detection of Heteroscedasticity in the Presence of Outliers, Journal of Mathematics and Statistics, Vol. 4(4), pp. 277-283.
National

Publications will be here.

Conference & Seminars

  1. Mahmood, E.A., Rana, S.,Hussin, A.G. and Midi, H (2016).Detection of outliers in the response and explanatory variables of the simple circular regression model.AIP Conference proceedings1739, 020081 (2016); http://dx.doi.org/10.1063/1.4952561
  2. Ariffin, S.B, Midi, M.,  Arasan, J. and Rana, S. (2015). The effect of high leverage points on the maximum estimated likelihood for separation in logistic regression, The 2nd ISM International Statistical Conference (ISM -II),AIP Conference Proceedings 1643, 402 (2015); doi: 10.1063/1.4907472
  3. Fitrianto, A., Rana, S., Midi, H., and Hydara, K. (2015). Effects of a Single Outlier on the Coefficient of Determination: An Empirical Study, The 2nd ISM International Statistical Conference (ISM-II), AIP Conference Proceedings 1643, 409 (2015); doi: 10.1063/1.4907473.
  4. Rana, S., Midi, H. and A.H.M.R Imon (2014). Variables Selection Procedure based on Robust Approach, Proceedings of the 3rd International Conference on Computer Engineering and Mathematical Sciences (ICCEMS 2014), 672-678.
  5. Ariffin,S.B, Midi,H., Rana, S.andArasan, J (2014). Robust Logistic Regression Multivariate High Leverage Points Diagnostic in Computer Engineering, Proceedings of the 3rd International Conference on Computer Engineering and Mathematical Sciences (ICCEMS 2014), 672-678.
  6. Rana, S., Midi, H. and Imon, A.H.M.R (2014). Detection of Outliers in Multivariate Data Based on COMEDIANMAD Approach, Fundamental Science Congress 2014, pp. 270-272.
  7. Yee Peng, L.,  Midi, H, Fitrianto, A. and Rana, S (2014). Generalized Linear Model Procedure based on Robust Estimator for Designed Experiment with Poisson Distributed Response Variable, Fundamental Science Congress 2014, pp. 347-349.
  8. Mustafa, M.S., Midi, H. ,Rana, S.andFitrianto, A. (2014). Robust Design in the Dual Response Approach, Fundamental Science Congress 2014, pp. 335-337.
  9. Ariffin, S.B, Midi, H., Arasan, J. and Rana, S. (2014). The Effect of High Leverage Point and Separated Data in the Hidden Logistic Regression Model, Fundamental Science Congress 2014, pp. 341-343.
  10. Midi, H., Baba, I., Rana, S., and Gafurjan, I. (2014).An Improve Dual Response Surface Optimization, Fundamental Science Congress 2014, pp. 344-346.
  11. Mustafa, M.S., Midi, H. and Rana, S. (2013). Heteroscedastic regression model in the response surface design, Fundamental Science Congress 2013, pp. 482-485.
  12. Midi, H., Rana, S. and Imon, A.H.M.R (2013). On a Robust Estimator in Heteroscedastic Regression Model in the Presence of Outliers, Proceedings of the World Congress on Engineering, London 2013, Vol I, pp. 6 pages, ISSN: 2078-0966 (Online).
  13. Rana, S. Midi, H. and Siraj-Ud-Doulah M. (2013). An alternative model selection criterion based on principal component analysis, Fundamental Science Congress 2013, pp. 478-481.
  14. Ariffin, S.B, Midi, H., Arasan, J. and Rana, S. (2013).Performance of Ridge regression estimator for logistic regression model with application on cancer remission multicollinear data, Fundamental Science Congress 2013, pp. 490-494.
  15. Rana, S., John, A.H. and Midi, H. (2012). Robust Regression Imputation for Analyzing Missing Data. Proceedings of the International conference on Statistics in Science, Business and Engineering 2012 (ICSSBE2012), IEEE Xplore (Conference proceedings), pp(s). 1-4. DOI: 1109/ICSSBE.2012.6396621
  16. Mohammadi, M., Midi, H.,Rana, S. and Arasan, J.A/P (2012). The application of simple errors in variables model on real data. Proceedings of the International conference on Statistics in Science, Business and Engineering 2012 (ICSSBE2012), IEEE Xplore (Conference proceedings), pp (s). 1-4. DOI:  10.1109/ICSSBE.2012.6396544
  1. Rana, S., Midi, H. and Siraj-Ud-Doulah, M. (2012). Robust Chi-Square Base ARCH Test. Fundamental Science Congress,29-30.
  2. Rana, S., Midi, H. (2011). A bootstrapping approach of the Significance of Rank Regression. Fundamental Science Congress,403-404.
  3. Rana, S., Midi, H. and S. K. Sarkar (2010). Validation and Performance Analysis of Binary Logistic Regression Model, Proceedings of the WSEAS International Conference on Environment, Medicine and Health Sciences (EMEH’10), pp. 51-55, 23-25 March, Penang, Malaysia. ISSN: 1790-5125, ISBN: 978-960-474-170-0.
  4. Rana, S., Midi, H. and Imon, A.H.M.R (2010). Performance of Heteroscedasticity Consistence Covariance Matrix on Food Expenditure Data, Fundamental Science Congress, pp. 72-73, ISBN: 978-983-2519-07-2.
  5. Midi, H., Rana, S., and Imon, A.H.M.R. (2009). Robust Estimation of Regression Parameters with Heteroscedastic Errors in the Presence of Outliers, Proceedings of the 8th WSEAS International Conference on Applied Computer and Applied Computational Science (ACACOS’09), pp. 128-134, 20-22 May, Hangzhou, China. ISSN: 1790-5117, ISBN: 978-960-474-075-8.
  6. Rana, S., Midi, H. and Imon, A.H.M.R. (2009). Two Stage Estimation of Regression Parameters in the Presence of Heteroscedasticity, Proceedings of the 5th Asian Mathematical Conference, pp. 318-324, 22-26 June, World Trade Centre, Kuala Lumpur, Malaysia.
  7. Rana, S., Midi, H. and Imon, A.H.M.R. (2009). Robust Estimation of Parameters in Heteroscedastic Multiple Regression Model in the Presence of Outliers, Proceedings of the 4th International Conference on Research and Education in Mathematics(ICREM4), pp. 264-271, 21-23 October, Kuala Lumpur, Malaysia, ISBN 978-967-344-092-4.
  8. Midi, H., Rana, S. and Imon, A.H.M.R. (2009). Robust Estimation of Regression Parameters with Heteroscedastic Errors in the Presence of Outliers. Fundamental Science Congress,382-383.
  9. Rana, S., Midi, H. and Imon, A.H.M.R. (2009). Estimation of Regression Parameters in the Presence of Heteroscedasticity with Unknown Form. Fundamental Science Congress,403-404.
  10. Rana, S., Midi, H. and Imon, A.H.M.R (2009). Correcting for Heteroscedasticity with Heteroscedasticity Consistent Standard Errors in the Presence of Outliers and High Leverage Points, The Proceeding of the 17th National Mathematical Science Symposium, Vol. 2, pp. 687-693. 15-17 December, Melaka, Malaysia, ISBN 978-967-960-256-2.
  11. Midi, H., Rana, S., and NurAfzan Mat Said (2009). Analysing Food Expenditure Data Using Robust Weighted Least Squares, The Proceeding of the 17th National Mathematical Science Symposium, Vol. 2, pp. 694-700. 15-17 December, Melaka, Malaysia, ISBN 978-967-960-256-2.
  12. Rana, S.,Imon, A.H.M.R and Midi, H. (2008). Detection of Heteroscedasticity in The Presence of Outliers, The Proceeding of the 16th National Mathematical Science Symposium, Vol. 2, pp. 262-269.

Other

Publications will be here.

Period Position and Institute
2016- To Date Assistant Professor, East West University.
2010 – 2016 Senior Lecturer/ Assistant Professor, University Putra Malaysia.
2011-2016 Associate researcher, Institute for Mathematical Research, University Putra Malaysia.
2008-2010 Graduate Research Fellow, Institute for Mathematical Research, University Putra Malaysia, 2008-2010.
2006-2007 Lecturer of Statistics (contract), Department of Mathematics, Government Shahid Titumir University College, Dhaka, Bangladesh.

Robust methods of estimation, Outlier detection, Regression diagnostics, Data mining and statistical machine learning, Multivariate analysis, Statistical computing and graphics, Econometrics methods, Simulation and bootstrapping techniques.

+ Academic Background
  • Ph.D (Statistics), University Putra Malaysia
  • Masters: Statistics, University of Rajshahi
  • Bachelor: Statistics, University of Rajshahi
+ Selected Publications

Journal Publication

International

Publications in International Journals:

  1. Saadati, M, Bagheri, A and Rana, S (2018). Application of Classification and Regression Trees Algorithm to Classify Children Ever Born: BDHS 2011, Malaysian Journal of Mathematical Sciences,  12(3), pp. 401–419.
  2. Sleabi, W.D., Rana, S., Alshaybawee, T and Midi, H. (2018). The single-index support vector regression model to address the problem of high dimensionality, Communications in Statistics – Simulation and Computation, 47 (9), pp. 2792-2799.
  3. Rana, S., Sleabi, W.D. and Midi, H. (2018). Fixed Parameters Support Vector Regression for Outlier Detection.  Economic Computation and Economic Cybernetics Studies and Research. 52(2), pp. 267-292.
  4. Ahmed Kadom, A, Midi, H. and Rana, S. (2018) The Performance of k-means Clustering Method based on Robust Principal Components, Far East Journal of Mathematical Sciences, 103(11), pp. 1757-1767.
  5. Sleabi, W.D., Rana, S.and Midi, H. (2017). A high breakdown, high efficiency and bounded influence modified GM estimator based on support vector regression, Journal of Applied Statistics, 44 (4), pp. 700-714.
  6. Uraibi, H, Midi, H. and Rana, S. (2017). Selective overview of forward selection in terms of robust correlations, Communications in Statistics – Simulation and Computation,  46(7), pp. 5479-5503.
  7. Sleabi, W.D., Rana, S. , Alshaybawee, T and Midi, H. (2017). Elastic Net for Single Index Support Vector Regression Model,  Economic Computation and Economic Cybernetics Studies and Research,  51(2), 195-210.
  8. Uraibi, H, Midi, H. and Rana, S. (2017). Robust multivariate Least Angle Regression, ScienceAsia, Vol 43, 56–60.
  9. Mahmood, E.A., Midi, H., Rana, S.,  and Hussin, A.G (2017). Robust Circular Distance and its Application in the Identification of Outliers in the Simple Circular Regression Model , Asian Journal of Applied Sciences, 10(3), pp. 126 – 133.
  10. Mahmood, E.A., Rana, S., Hussin, A.G and Midi, H. (2017). Adjusting Outliers in Univariate Circular Data, Partanika Journal of Science and Technology, Vol 25(4), 1147 – 1158.
  11. Midi, H., Mahdi, O. and Rana, S. (2017). Diagnostic Robust Generalised Potentials based on GM6 to Identify High Leverage Points in Simultaneous Regression Model,  Far East Journal of Mathematical Sciences,  101(8), pp.1785-1800.
  12. Mahmood, E.A., Rana, S., Midi, H. and Hussin, A.G (2017). Detection of Outliers in Univariate Circular Data using Robust Circular Distance, Journal of Modern Applied Statistical Methods, 17(2), pp. 418 – 432.
  13. Mamun, A.S.M.A., Zubairi, Y. Z., Hussin, A.G., Imon, A.H.M.R and Rana, S (2017). Small-Sample Confidence Interval for the Slope of Linear Structural Relationship Model, Electronic Journal of Applied Statistical Analysis,  10(2), pp. 374-383.
  14. Hanafi, M.H,  Noor,N.M,  Rana, S and Saad, F.F.A (2017). Standardisation Techniques of Independent PET/CT Modalities utilising PET SUVmax as a Potential Conversion Marker, Transylvanian Review, 25(21).
  15. Shazreen, S., Rana, S., Shakher, R., Cheah, Y.Q., Malini, V.K., Shahrun Niza, A.S., Saladina, J.J. and Fathinul Fikri, A.S. (2017). The value of 18f-fluorodeoxyglucose and MRI DWI in underpinning cellular reprogramming in breast cancer, International Journal of Development Research, Vol. 07, Article ID: 6461, 5 page.
  16. Rana, S., Mahmood, E.A., Midi, H. and Hussin, A.G (2016). Robust Detection of Outliers in Response and Explanatory Variables of the Simple Circular Regression Model, Malaysian Journal of Mathematical Sciences, Vol. 10 (3), pp. 399–414.
  17. Rana, S., Sleabi, W.D. and Midi, H. (2016). A Hybrid Technique for Selecting Support Vector Regression Parameters Based on a Practical Selection Method and Grid Search Procedure, Economic computation and economics cybernetics studies and research.50(2), 231–246.
  18. Peng, L.Y, Midi, H., Rana, S and Fitrianto, A (2016). Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables, Mathematical Problems in Engineering, Volume 2016 (2016), Article ID 5840523, 9 pages.
  19. Hasan M. N., Rana, S., Malek, M. B., Das, K. R. and Sultana N. (2016). Modeling Bangladesh’s Gross Domestic Product Using Regression Approach, Malaysian Journal of Mathematical Sciences, Volume10(2): 233-246.
  20. Mamun, A.S.M.A., Zubairi, Y. Z., Hussin, A.G.and Rana, S (2016). A comparison of missing data handling methods in linear structural relationship model: evidence from BDHS2007 data, Electronic Journal of Applied Statistical Analysis, 09 (1), 124-135.
  21. Jiin, R.L.T, Anwar Fitrianto, Rana, S, Midi, H.(2015). An Alternative Identification of Influential points in Cox Proportional Hazards Model, International Journal of Applied Mathematics & Statistics, 53 (5), pp. 187 – 191.
  22. Sleabi, W.D., Rana, S. and Midi, H. (2015). Non-sparse -insensitive Support Vector  Regression for Outlier Detection, Journal of Applied Statistics, 42(8),  1723–1739.
  23. Rana, S., Fitrianto, A, Wen Jie, K., Midi, H. and A.H.M.R. Imon (2015). Robust feasible generalized least squares: A remedial measures of heteroscedasticity, International Journal of Applied Mathematics & Statistics, 53 (5), pp. 192 – 199.
  24. Mohammed, M.A., Midi, H. and Rana, S (2015). Robust Jackknife Ridge Regression to Combat Multicollinearity and High Leverage Points, Economic computation and economics cybernetics studies and research. Vol.49 (4), 305-322.
  25. Baba, I., Midi, H., Rana, S.and Gafurjan, I., (2015). An Alternative Approach of Dual Response Surface Optimization Based on Penalty Function Method, Mathematical Problems in Engineering, vol. 2015, Article ID 450131, 6 pages, 2015. DOI:10.1155/2015/450131.
  26. Uraibi, H, Midi, H. and Rana, S. (2015). Robust Stability Best Subset Selection for Autocorrelated Data Based on Robust Location and Dispersion Estimator, Journal of Probability and Statistics, Vol. 2015, Article ID 432986, 8 pages, DOI: DOI 10.1155/2015/432986.
  27. Rana, S., Happy John.,A ,Midi, H. and A.H.M.R. Imon (2015). The Performance of Robust Regression Imputation for Missing data in the Presence of Outliers, Far East Journal of Mathematical Sciences, 97(2), pp. 183-195.
  28. Midi, H., Rana, S. and Imon, A. H.M.R (2014). Two Step Robust Estimator in Heteroscedastic Regression Model in the presence of Outliers, Economic Computation and Economic Cybernetics Studies and Research. Volume 48 (3), 255-272.
  29. Siraj-Ud-Doulah M., Rana, S. and Midi, H (2014). Model Recognition by using Principal Component analysis (PCA) approach. Chiang Mai Journal of Science, Volume 41(1), pp. 224-230.
  30. Marikkar, J.M.N. and Rana, S. (2014). Use of Differential Scanning Calorimery to detect Canola Oil (Brassica napus L) Adulterated with Lard Stearin, Journal of Oleo Science, Volume 63(9), 867 – 873.
  31. Fitrianto, A., Wijayanto, H., Rana, S. and Voon, Y.C. (2014). Median Polish for Final Grades of MTH3000- and MTH4000- Level Courses, Applied Mathematical Sciences, Volume 8, 6295 – 6302.
  32. Rana, S., Midi, H and Fitrianto A. (2013). Statistical Significance of Rank Regression. Applied Mathematical Sciences, Vol. 7(82), 4067 – 4072.   
  33. Rana, S., Habshah Midi and S.K. Sarkar (2013). Determinants of Desire for Children: A Multinomial Logistic Regression Approach, Life Science Journal, Volume 10 (2), pp. 1460 – 1467.
  34. Farid, H., Ismail I. A., Sadeghi and Rana, S. (2013) Propelling the Innovation Speed for Malaysian Biotechnology Products, Life Science Journal, Volume 10 (3), pp. 503 – 510.
  35. Midi, H. Ann, H. L. and Rana, S. (2013). On the Robust Parameter Estimation for Linear Model with Autocorrelated Errors. Advanced Science Letters, Volume 19 (8), pp.  2494 – 2496.
  36. Rana, S., Midi, H. and Imon, A.H.M.R. (2012). Robust Wild Bootstrap for Stabilizing the Variance of Parameter Estimates in Heteroscedastic Regression Models in the Presence of Outlier Mathematical Problems in Engineering, Volume 2012, Article ID 730328, 14 pages. doi:10.1155/2012/730328.
  37. Rana, S., Siraj-Ud-Doulah, M., Midi, H. and Imon, A.H.M.R. (2012). Decile Mean: A New Robust Measure of Central Tendency. Chiang Mai Journal of Science, 39(3), pp. 478-485.
  38. Farid H., Ismail, I. A., Sarkar, S.K. and Rana S. (2012). Optimizing Success in Biotechnology Innovation Adoption: Comparing the Perspectives of Academic Researchers and Biotechnology Companies Officers. Archives Des Sciences, 65 (8), pp. 513-525.
  39. Siraj-Ud-Doulah M., Rana, S. and Midi , H. (2012). New Robust Tests for the Detection of ARCH Effect. Economic Computation and Economic Cybernetics Studies and Research, 46 (1/2012), 251-259.
  40. Farid H., Sadeghi Z. and Rana S. (2012). An Evaluation of Online Shopping and Its Effect on Customers’ Satisfaction and Behaviour in Malaysia. Journal of American Science, Vol. 8(7), pp. 704-707.
  41. Farid H., Sadeghi Z. and Rana S. (2012). Measurement and Mutual Perception of Online Customers satisfaction in malaysia. Middle-East Journal of Scientific Research, Vol. 12(1), pp. 11-18.
  42. Midi, H., Sarkar, S.K. and Rana, S. (2011). Adequacy of Multinomial Logit Model with Nominal Responses over Binary Logit Model. Trends in Applied Sciences Research,6 (8), pp. 900-908.
  43. Midi, H., Rana, S., and Nur Afzan Mat Said (2011). The Application of Two Stage Robust Weighted Least Squares and Robust Bootstraping Procedure on Food Expenditure Data, International Journal of Applied Mathematics & Statistics, Vol.20 (M11), pp. 25-37.
  44. Sarkar, S. K., Midi, H., and Rana, S. (2011). Detection of Outliers and Influential Observations in Binary Logistic Regression: An Empirical Study, Journal of Applied Sciences, Vol.11(1), pp. 26-35.
  45. Midi, H., Rana, S., and Sarkar, S. K. (2010).Binary Response Modeling and Validation of its Predictive Ability, WSEAS Transition of Mathematics, Vol. 9(6) , 438-447.
  46. Sarkar, S. K., Midi, H., and Rana, S. (2010). Collinearity Diagnostics of Binary Logistic Regression Model, Journal of Interdisciplinary Mathematics, 13(3), pp. 253-267.
  47. Sarkar, S.K., Midi, H. and Rana, S. (2010). Model Selection in Logistic Regression and Performance of its Predictive Ability. Australian Journal of Basic and Applied Sciences, 4(12), 5813-5822.
  48. Rana, S., Midi, H. and, Imon, A.H.M.R. (2009). A Robust Rescaled Moment Test for Normality in Regression, Journal of Mathematics and Statistics, Vol. 5(1), pp. 54-62.
  49. Midi, H., Rana, S., and, Imon, A.H.M.R. (2009). The Performance of Robust Weighted Least Squares in the Presence of Outliers and Heteroscedastic Errors, WSEAS Transactions on Mathematics, 8(7), pp. 351-361.
  50. Midi, H., Rana, S., and Imon, A.H.M.R. (2009). Estimation of Parameters in Heteroscedastic Multiple Regression Model Using Leverage Based Near-Neighbors, Journal of Applied Sciences, Vol. 9(22), pp. 4013-4019.
  51. Rana, S., Midi, H. and Imon, A.H.M.R.(2008). A Robust Modification of the Goldfeld-Quandt Test for the Detection of Heteroscedasticity in the Presence of Outliers, Journal of Mathematics and Statistics, Vol. 4(4), pp. 277-283.
National

Publications will be here.

Conference & Seminars

  1. Mahmood, E.A., Rana, S.,Hussin, A.G. and Midi, H (2016).Detection of outliers in the response and explanatory variables of the simple circular regression model.AIP Conference proceedings1739, 020081 (2016); http://dx.doi.org/10.1063/1.4952561
  2. Ariffin, S.B, Midi, M.,  Arasan, J. and Rana, S. (2015). The effect of high leverage points on the maximum estimated likelihood for separation in logistic regression, The 2nd ISM International Statistical Conference (ISM -II),AIP Conference Proceedings 1643, 402 (2015); doi: 10.1063/1.4907472
  3. Fitrianto, A., Rana, S., Midi, H., and Hydara, K. (2015). Effects of a Single Outlier on the Coefficient of Determination: An Empirical Study, The 2nd ISM International Statistical Conference (ISM-II), AIP Conference Proceedings 1643, 409 (2015); doi: 10.1063/1.4907473.
  4. Rana, S., Midi, H. and A.H.M.R Imon (2014). Variables Selection Procedure based on Robust Approach, Proceedings of the 3rd International Conference on Computer Engineering and Mathematical Sciences (ICCEMS 2014), 672-678.
  5. Ariffin,S.B, Midi,H., Rana, S.andArasan, J (2014). Robust Logistic Regression Multivariate High Leverage Points Diagnostic in Computer Engineering, Proceedings of the 3rd International Conference on Computer Engineering and Mathematical Sciences (ICCEMS 2014), 672-678.
  6. Rana, S., Midi, H. and Imon, A.H.M.R (2014). Detection of Outliers in Multivariate Data Based on COMEDIANMAD Approach, Fundamental Science Congress 2014, pp. 270-272.
  7. Yee Peng, L.,  Midi, H, Fitrianto, A. and Rana, S (2014). Generalized Linear Model Procedure based on Robust Estimator for Designed Experiment with Poisson Distributed Response Variable, Fundamental Science Congress 2014, pp. 347-349.
  8. Mustafa, M.S., Midi, H. ,Rana, S.andFitrianto, A. (2014). Robust Design in the Dual Response Approach, Fundamental Science Congress 2014, pp. 335-337.
  9. Ariffin, S.B, Midi, H., Arasan, J. and Rana, S. (2014). The Effect of High Leverage Point and Separated Data in the Hidden Logistic Regression Model, Fundamental Science Congress 2014, pp. 341-343.
  10. Midi, H., Baba, I., Rana, S., and Gafurjan, I. (2014).An Improve Dual Response Surface Optimization, Fundamental Science Congress 2014, pp. 344-346.
  11. Mustafa, M.S., Midi, H. and Rana, S. (2013). Heteroscedastic regression model in the response surface design, Fundamental Science Congress 2013, pp. 482-485.
  12. Midi, H., Rana, S. and Imon, A.H.M.R (2013). On a Robust Estimator in Heteroscedastic Regression Model in the Presence of Outliers, Proceedings of the World Congress on Engineering, London 2013, Vol I, pp. 6 pages, ISSN: 2078-0966 (Online).
  13. Rana, S. Midi, H. and Siraj-Ud-Doulah M. (2013). An alternative model selection criterion based on principal component analysis, Fundamental Science Congress 2013, pp. 478-481.
  14. Ariffin, S.B, Midi, H., Arasan, J. and Rana, S. (2013).Performance of Ridge regression estimator for logistic regression model with application on cancer remission multicollinear data, Fundamental Science Congress 2013, pp. 490-494.
  15. Rana, S., John, A.H. and Midi, H. (2012). Robust Regression Imputation for Analyzing Missing Data. Proceedings of the International conference on Statistics in Science, Business and Engineering 2012 (ICSSBE2012), IEEE Xplore (Conference proceedings), pp(s). 1-4. DOI: 1109/ICSSBE.2012.6396621
  16. Mohammadi, M., Midi, H.,Rana, S. and Arasan, J.A/P (2012). The application of simple errors in variables model on real data. Proceedings of the International conference on Statistics in Science, Business and Engineering 2012 (ICSSBE2012), IEEE Xplore (Conference proceedings), pp (s). 1-4. DOI:  10.1109/ICSSBE.2012.6396544
  1. Rana, S., Midi, H. and Siraj-Ud-Doulah, M. (2012). Robust Chi-Square Base ARCH Test. Fundamental Science Congress,29-30.
  2. Rana, S., Midi, H. (2011). A bootstrapping approach of the Significance of Rank Regression. Fundamental Science Congress,403-404.
  3. Rana, S., Midi, H. and S. K. Sarkar (2010). Validation and Performance Analysis of Binary Logistic Regression Model, Proceedings of the WSEAS International Conference on Environment, Medicine and Health Sciences (EMEH’10), pp. 51-55, 23-25 March, Penang, Malaysia. ISSN: 1790-5125, ISBN: 978-960-474-170-0.
  4. Rana, S., Midi, H. and Imon, A.H.M.R (2010). Performance of Heteroscedasticity Consistence Covariance Matrix on Food Expenditure Data, Fundamental Science Congress, pp. 72-73, ISBN: 978-983-2519-07-2.
  5. Midi, H., Rana, S., and Imon, A.H.M.R. (2009). Robust Estimation of Regression Parameters with Heteroscedastic Errors in the Presence of Outliers, Proceedings of the 8th WSEAS International Conference on Applied Computer and Applied Computational Science (ACACOS’09), pp. 128-134, 20-22 May, Hangzhou, China. ISSN: 1790-5117, ISBN: 978-960-474-075-8.
  6. Rana, S., Midi, H. and Imon, A.H.M.R. (2009). Two Stage Estimation of Regression Parameters in the Presence of Heteroscedasticity, Proceedings of the 5th Asian Mathematical Conference, pp. 318-324, 22-26 June, World Trade Centre, Kuala Lumpur, Malaysia.
  7. Rana, S., Midi, H. and Imon, A.H.M.R. (2009). Robust Estimation of Parameters in Heteroscedastic Multiple Regression Model in the Presence of Outliers, Proceedings of the 4th International Conference on Research and Education in Mathematics(ICREM4), pp. 264-271, 21-23 October, Kuala Lumpur, Malaysia, ISBN 978-967-344-092-4.
  8. Midi, H., Rana, S. and Imon, A.H.M.R. (2009). Robust Estimation of Regression Parameters with Heteroscedastic Errors in the Presence of Outliers. Fundamental Science Congress,382-383.
  9. Rana, S., Midi, H. and Imon, A.H.M.R. (2009). Estimation of Regression Parameters in the Presence of Heteroscedasticity with Unknown Form. Fundamental Science Congress,403-404.
  10. Rana, S., Midi, H. and Imon, A.H.M.R (2009). Correcting for Heteroscedasticity with Heteroscedasticity Consistent Standard Errors in the Presence of Outliers and High Leverage Points, The Proceeding of the 17th National Mathematical Science Symposium, Vol. 2, pp. 687-693. 15-17 December, Melaka, Malaysia, ISBN 978-967-960-256-2.
  11. Midi, H., Rana, S., and NurAfzan Mat Said (2009). Analysing Food Expenditure Data Using Robust Weighted Least Squares, The Proceeding of the 17th National Mathematical Science Symposium, Vol. 2, pp. 694-700. 15-17 December, Melaka, Malaysia, ISBN 978-967-960-256-2.
  12. Rana, S.,Imon, A.H.M.R and Midi, H. (2008). Detection of Heteroscedasticity in The Presence of Outliers, The Proceeding of the 16th National Mathematical Science Symposium, Vol. 2, pp. 262-269.

Other

Publications will be here.

+ Professional Experience
Period Position and Institute
2016- To Date Assistant Professor, East West University.
2010 – 2016 Senior Lecturer/ Assistant Professor, University Putra Malaysia.
2011-2016 Associate researcher, Institute for Mathematical Research, University Putra Malaysia.
2008-2010 Graduate Research Fellow, Institute for Mathematical Research, University Putra Malaysia, 2008-2010.
2006-2007 Lecturer of Statistics (contract), Department of Mathematics, Government Shahid Titumir University College, Dhaka, Bangladesh.
+ Research Interest

Robust methods of estimation, Outlier detection, Regression diagnostics, Data mining and statistical machine learning, Multivariate analysis, Statistical computing and graphics, Econometrics methods, Simulation and bootstrapping techniques.