**Professor of Statistical Science**

# Tom L. Bratcher, Ph.D.

## Professor of Statistical Science

**Education**

Ph.D., Statistics, Southern Methodist University, 1969

M.S., Statistics, Southern Methodist University, 1965

B.S., Mathematics, University of Texas Arlington, 1963

**Major area of research**

Statistical inference, Bayesian methods

**Biography**

After an exciting high school experience in Fort Worth, physics sounded interesting to me but I kept taking these easy math courses instead at UT Arlington. Since no one offered me a job after graduation (well I never asked for one), I thought about graduate studies in mathematics. However, they offered more money to study statistics at SMU, so why not. Upon completing an MS degree, I went to Sandia National Labs in Albuquerque with a Q clearance (an "if I tell you, I would have to kill you" type of deal). There, these Ph.D.s kept telling me what to do so I decided to get one of those Ph.D. my own self and did. When offered a position with the Raging Cajuns of the University of Louisiana in Lafayette, the Crawfish Capitol of the World, how could I refuse? We started a Ph.D. Program in Statistics and a new Louisiana Chapter of the American Statistical Association. Not wanting to be buried in the swamps, I returned to Central Texas and Baylor. Here I was a primary organizer of the Conference of Texas Statisticians. Baylor hosted the 30th such Conference in Spring 2010. Then we began this Ph.D. program in Statistics which I have directed for 20 years. Currently I dwell in the hills of Bosque County with the goats, donkeys, cattle, and coyotes.

**Selected Publications**

Stamey J, Bratcher, T., Seaman, J. (2008) A note on inference on multiple generalized Poisson populations, *American Journal of Mathematical and Management Sciences*, 28, 213-229.

Hamilton, C., Bratcher, T.L., and Stamey, J. (2008) Bayesian subset selection approach to ranking normal means, *Journal of Applied Statistics*, 35, 847-851.

Stamey J, Bratcher, T., Young, D. (2007) Bayesian subset selection of binomial parameters using possibly misclassified data, *Journal of Modern Applied Statistical Methods*, 6, 551-560.

Stamey, J., Bratcher, T., and Young, D. (2006). Bayesian sample size determination for one and two Poisson rate parameters with applications to quality control, *Journal of Applied Statistics*, 33, 583-594.

Bratcher, T., and Hamilton, C. (2005). A Bayesian multiple comparsons procedure for ranking means of normally distributed data, *Journal of Statistical Planning and Inference*, 133(1), 23-32.

Stamey, J., Bratcher, T., and Young, D.(2004). Bayesian predictive probability functions for data that are subject to misclassification, *Biometrical Journal*, 46, 572-578.

Bratcher, T., and Stamey, J. (2004). A note on Bayesian interval estimation for comparing two Poisson rates, *The Mathematical Scientist*, 29, 54-60.

Stamey, J., Bratcher, T., and Young, D. (2004). Parameter subset selection and multiple comparisons of Poisson rate parameters with misclassification, *Computational Statistics and Data Analysis*, 45, 467-479.