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Dr. Tejas A. Desai

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Associate Professor (Visiting)

PhD in Biostatistics, M.S. in Biostatistics, M.A. in Mathematics, B.A. in Mathematics

“Professor Tejas Desai is an applied statistician. As such, he is interested in almost all aspects of applied statistics. Particular problems in applied statistics in which he is interested are one-way ANOVA and MANOVA in possible presence of heteroscedasticity and non-normality of errors; test of equality of two or more medians without making distributional assumptions; tests of equality of two or more variances or covariance matrices without making distributional assumptions; tests of univariate symmetry; tests of multivariate central symmetry; and tests of multivariate normality. In infrastructure, he is interested in applications of statistics to data arising from  the energy sector. For example, he is interested in simultaneously comparing several states of India or several countries on measures such as the mean fuel consumption and mean power consumption.”

  • PhD in Biostatistics, 2003, The University of North Carolina at Chapel Hill, USA
  • M.S. in Biostatistics, 1997, The University of North Carolina at Chapel Hill, USA
  • M.A. in Mathematics, 1993, The University of Kentucky at Lexington, USA
  • B.A. in Mathematics (magna cum laude with high honors and with a minor in Computer Science), 1991, The University of Tennessee at Chattanooga, USA

He has 10 years of teaching experience, almost five of which were at IIMA. He teaches probability and applied statistics.

JOURNAL PUBLICATIONS:

Statistical Methodology:

  • Desai, T. A. (2013). On Expressing the Probabilities of Categorical Responses as Linear Functions of Covariates. Applied Mathematics, Vol. 4, No. 11,
  • Desai, T.A. and P.K. Sen (2008). Information Attainable in Some Randomly Incomplete Multivariate Response Models. The Journal of Statistical Planning and Inference, 138: 11, 3467-3482.
  • Desai, T.A. and P.K. Sen (2006). Information Attainable in Some Randomly Incomplete Data Models. The Journal of Statistical Planning and Inference,136:7, 2309-2326.

Applications of Statistics to Health Management:

  • Williams, S. W., Desai, T. A., Rurka, J., and Mutran, E. (2008). Predictors of Satisfaction for African American and White Family Caregivers of Adult Care Home Residents. Journal of Applied Gerontology, 27: 5, 568-587.
  • Dement, J., Lipscomb, H., Li, L. Epling, C. and Desai, T. A. (2003). Nail Gun Injuries Among Construction Workers. Applied Occupational and Environmental Hygiene, 18: 5, 374-383.
  • Mutran, E. J., Sudha, S., Desai, T., & Long, K. (2001). Satisfaction with care among elderly African American and White residents of adult care facilities. Research on Aging Special Issue: Aging and Health in a Multiethnic Society Volume 2: Health Care Issues 23, 61-82.
  • Mutran, E. J., Sudha S., Reed, P. Menon, M., & Desai, T. (2001). African -American use of long-term care facilities: the case of adult care homes in (Eds.) S. I. Zimmerman, P. Sloane, and K. Eckert, Assisted Living. Baltimore: John Hopkins University Press.
  • ) Keysor Julie J., Desai Tejas, Mutran Elizabeth (1999). Elders’ preferences for care setting in short- and long-term disability scenarios. The Gerontologist, vol. 39: 3, 334-344.

BOOKS:

  • Desai, T. A. (2013). A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem. SpringerBriefs in Statistics (Book).

CASE STUDIES:

“On staffing in face of variable demand: The case of the Aravind Eye Hospital”. IIMA registered case study.