Ph.D. State University of New York at Buffalo
M.A. State University of New York at Buffalo
Professor Chakraborti has authored/co-authored over 100 publications in a variety of journals such as The Journal of the Royal Statistical Society, Technometrics, Journal of Quality Technology, Quality Engineering, Quality and Reliability Engineering International, Review of Economics and Statistics, Economics Letters, Biometrical Journal, International Journal of Advanced Manufacturing Technology, IEEE-Transactions, Communications in Statistics, Journal of Applied Statistics, Journal of Experimental Education and Statistica Neerlandica. His research has been supported by agencies like the Council of International Exchange of Scholars, the North Atlantic Treaty Organization, the Turkish Research Organization TUBITAK, the South African National Research Foundation, the Brazilian research foundation and the Philips Corporation. He is the co-author of the book Nonparametric Statistical Inference, fifth edition (2010), published by Taylor and Francis. He has been a visiting professor at Pennsylvania State University, University of North Carolina at Chapel Hill, University of California at Berkeley, and various universities in the Netherlands, Brazil, Turkey, India, and South Africa. He has been an invited speaker and a keynote speaker at numerous international conferences.
Professor Chakraborti was the winner of the 1988-89 Burlington Northern Faculty Achievement Award at The University of Alabama for excellence in teaching. He has also been the winner of the C&BA Excellence Fund Research Award in both teaching and research (1988-89, 1989-90, and 1992-93). Dr. Chakraborti has served as an Associate Editor of Communications in Statistics for over fifteen years and provides professional service as a reviewer for several statistics journals and agencies. He has been cited for his mentoring work with young scholars from around the world. He is a member of the American Statistical Association, the International Statistical Institute and the Institute of Mathematical Statistics. Dr. Chakraborti is an American Statistical Association Elected Member, as well as the International Statistical Institute Fulbright Sr. Scholar to South Africa.
Kumar, N. and Chakraborti, S. (2014). “Phase II Shewhart-type control charts for time between events and effects of parameter estimation,” Quality and Reliability Engineering International, Accepted.
Mukherjee, A., Chakraborti, S. and McCracken, A. (2014). “Control charts for simultaneous monitoring of parameters of a shifted exponential distribution,” Journal of Quality Technology, Accepted.
Castagliola, P., Wu, S., Khoo, M. B. and Chakraborti, S. (2014). “Synthetic Phase II Shewhart-type attribute control charts when process parameters are estimated,” Quality and Reliability Engineering International, 30, 3, 315-335.
Chowdhury, S., Mukherjee, A. and Chakraborti, S. (2014). “Distribution-free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale”, Quality and Reliability Engineering International, Accepted.
Kritzinger, P., Human, S. W. and Chakraborti, S. (2014). “Improved Shewhart-type Runs-rules Nonparametric Sign Charts,” Communications in Statistics, Theory and Methods. In print.
Graham, M. A., Chakraborti, S. and Mukherjee, A. (2014). “Design and implementation of CUSUM exceedance control charts for unknown location,” International Journal of Production Research, Accepted.
Dovoedo, Y. H. and Chakraborti, S. (2014). Power of depth-based nonparametric tests for multivariate locations, Journal of Statistical Computation and Simulation, Accepted.
Epprecht, E. K., Loureiro, L. D. and Chakraborti, S. (2014). “Effect of the Number and Size of the Phase I Sample on the Phase II Performance of S^2 and S Control Charts,” Journal of Quality Technology, Accepted.
Dovoedo, Y. H. and Chakraborti, S. (2014). “Boxplot-based outlier detection for the location-scale family,” Communications in Statistics,Simulation and Computation, Forthcoming.
Kumar, N. and Chakraborti, S. (2014). “Improved Phase I control limits for monitoring times between events,” Quality and Reliability Engineering International, Forthcoming. DOI: 10.1002/qre.1623
Teoh, W. L., Khoo, M. B. Castagliola, P. and Chakraborti, S. (2013). “Optimal design of the double sampling X-bar chart with estimated parameters based on median run Length,” Computers and Industrial Engineering, 67, 104-115.
McCracken, A. K., Chakraborti, S. and Mukherjee, A. (2013). “Control charts for simultaneous monitoring of mean and variance of normally distributed processes,” Journal of Quality Technology, 45, 360-376.
McCracken, A. K., Chakraborti, S. (2013). “Control charts for joint monitoring of mean and variance: an overview,” Quality Technology and Quantitative Management, 10, 17-36.
Dovoedo, Y.H., and Chakraborti, S. (2013), “Outlier detection for multivariate skew-normal data: a comparative study”, Journal of Statistical Computation and Simulation, Vol. 83, No. 4, 773?783.
Graham, M. A., Delport, F. C. and Chakraborti, S. (2013). “A letter to the editor about “A comparison study of three nonparametric control charts to detect shift in location parameters,” by Das, N. (2009), International Journal of Advanced Manufacturing Technology, 41 (7-8), 799?807.