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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.
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.