Subha Chakraborti

Subha Chakraborti
Professor of Statistics; Robert C. & Rosa P. Morrow Faculty Excellence Fellow; Fellow, American Statistical Association; Elected Member, International Statistical Institute; Fulbright Sr. Scholar to South Africa; and APST Ph.D. Program Coordinator
Information Systems, Statistics & Management Science
Office: 345 Alston Hall, 205-348-8907
Specialty Areas:
Nonparametric and Robust Statistical Inference with applications in areas such as Statistical Process Control, Survival/Reliability Analysis, Econometrics, Statistical Computing, and Extreme Values.
Education:
University of Calcutta (B.Sc.), State University of New York at Buffalo (M.A. and Ph.D.).
Honors, Achievements and Affiliations:

Professor Chakraborti has authored/co-authored over 80 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 Enginering International, Review of Economics and Statistics, Biometrical Journal, Communications in Statistics, Applied Statistics, Journal of Experimental Education and Statistica Neerlandica. His research has been supported by grants from agencies like the Council of International Exchange of Scholars, the North Atlantic Treaty Organization 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 Penn State University, UNC Chapel Hill, UC Berkeley, Holland, Turkey, India, and South Africa.  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 ten years and provides professional service as a reviewer for several statistics journals and agencies. He is a member of the American Statistical Association and the Institute of Mathematical Statistics.

Selected Publications

  • Dovoedo, Y. H. and Chakraborti, S. (2011). Outlier detection for multivariate skew-normal  data: a comparative study.  Journal of Statistical Computation and Simulation, Accepted.

  • Chakraborti, S., Michaelson, G. M. and McCracken, A. K. (2011): Shortest expected length confidence interval for the power of the t-test. Communications in Statistics. Simulation and Computation, Accepted.

  • Mukherjee, A. M. and Chakraborti, S. (2011): A distribution-free control chart for joint monitoring of location and scale. Quality and Reliability Engineering International, Accepted.
  • Graham, M. A., Chakraborti, S. and Human, S. W. (2011): A nonparametric EWMA sign chart for location based on individual measurements, Quality Engineering, 23, 227-241.

  • Graham, M. A., Chakraborti, S. and Human, S. W. (2011): A nonparametric exponentially weighted moving average signed-rank chart for monitoring location, Computational Statistics and Data Analysis, 55, 2490–2503.

  • Human, S. W., Kritzinger, P. E. and Chakraborti, S. (2011): “On the robustness of the EWMA chart,” Journal of Applied Statistics, published online. DOI: 10.1080/02664763.2010.545114
  • Chakraborti, S., Human, S.W. and Graham, M. A. (2011). “Nonparametric (Distribution-Free) Quality Control Charts,” In Handbook of Methods and Applications of Statistics: Engineering, Quality Control, and Physical Sciences. N. Balakrishnan, Ed., 298-329.John Wiley & Sons, New York.
  • Human, S. W. and Chakraborti, S. (2010): “A unified approach for Shewhart-type Phase I control charts for the mean,” International Journal of Reliability, Quality and Safety Engineering, 17, 1–10.
  • Graham, M. A., Human, S. W. and Chakraborti, S. (2010): “A nonparametric Phase I control chart,” Journal of Applied Statistics, 37, 1795-1813. 
  • Smit, C. F. and Chakraborti, S. (2009): “Sample Capability Indices: Distributional Properties and Some Applications,” South African Statistical Association Journal, 43, 117-125.
  • Human, S., Chakraborti, S. and Smit, C. F. (2009): “Shewhart-type control charts for variation in Phase I data analysis,” Computational Statistics and Data Analysis, 54, 863-874.
  • Chakraborti, S., Graham, M. A. and Human, S. W. (2009): “Phase I statistical process control charts: an overview and some results,” Quality Engineering. 21, 52-62.

  • Chakraborti, S., Eryilmaz, S. & Human, S. (2009): “A phase II Shewhart-type nonparametric control chart based on precedence statistics with runs-type signaling rules,” Computational Statistics and Data Analysis, 53, 1054-1065.

  • Chakraborti, S. and M. Van De Wiel (2008): “A nonparametric control chart based on the Mann-Whitney statistic,” In Beyond Parametrics in Interdisciplinary Research, Festschrift to P. K. Sen, Institute of Mathematical Statistics Collections, Volume 1, Edited by N. Balakrishnan, E. Pena, and M. J. Silvapulle.
  • Eryilmaz, S. and Chakraborti, S. (2008): “On start-up demonstration tests under exchangeability,” IEEE-Transactions in Reliability, 57, 627-632.
  • Chakraborti, S. and J. Li (2008): “Letter to the Editor,” The American Statistician, 62, 187.
  • Chakraborti, S. and S. W. Human (2007): “Properties and performance of the c-chart for attributes data,” Journal of Applied Statistics, 35, 89-100.