References
- Albert, J. (1996), Bayesian Computation Using Minitab, Belmont: Wadsworth.
- Berger, J. O. (1985), Statistical Decision Theory and Bayesian Analysis, Berlin: Springer.
- Bernardo, J. M., and Smith, A. F. M. (1994), Bayesian Theory, Chichester: Wiley.
- Berry, D. A. (1995), Basic Statistics: A Bayesian Perspective, Belmont: Wadsworth.
- Cramer, R., and Dewan, J. (1995), 1995 Major League Handbook, STATS, Inc.
- Garfield, J., and Ahlgren, A. (1988), “Difficulties in Learning Basic Concepts in Probability and Statistics: Implication for Research,” Journal for Research in Mathematics Education, 19, 44–63.
- Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B. (1995), Bayesian Data Analysis, London: Chapman and Hall.
- Hadley, G. (1967), Introduction to Probability and Statistical Decision Theory, San Francisco: Holden-Day.
- Lee, P. M. (1989), Bayesian Statistics: An Introduction, New York: Oxford University Press.
- Moore, D. S. (1995), The Basic Practice of Statistics, New York: W. H. Freeman.
- O'Hagan, A. (1994), Bayesian Inference, Cambridge: Edward Arnold.
- Rossman, A. J., and Short, T. A. (1995), “Conditional Probability and Education Reform: Are They Compatible?,” Journal of Statistics Education [Online], 3 (2). (http://ww2.amstat.org/publications/jse/v3n2/rossman.html)
- Schmitt, S. A. (1969), Measuring Uncertainty: An Elementary Introduction to Bayesian Statistics, Reading, MA: Addison-Wesley.
- Ware, James H. (1989), “Investigating Therapies of Potentially Great Benefit: ECMO,” Statistical Science, 4, 298–340.
- Winkler, R. L. (1972), Introduction to Bayesian Inference and Decision, Toronto: Holt, Rinehart and Winston.