Bibliography

Bartlett, M. S. 1957. “A Comment on D.V. Lindley’s Statistical Paradox.” Biometrika 44: 533–34.

Basu, D. 1975. “Statistical Information and Likelihood.” Sankhyā 37 (1): 1–71.

Berger, J. O. 1985. Statistical Decision Theory and Bayesian Analysis. Second. NY, USA: Springer-Verlag New York, Inc.

Berger, J., and R. Wolpert. 1988. The Likelihood Principle. Second. Hayward CA, USA: Institute of Mathematical Statistics.

Bernardo, J. M., and A. F. M. Smith. 2000. Bayesian Theory. Chichester, UK: John Wiley & Sons Ltd.

Besag, J., and P. Clifford. 1989. “Generalized Monte Carlo Significance Tests.” Biometrika 76 (4): 633–42.

Birnbaum, A. 1962. “On the Foundations of Statistical Inference.” Journal of the American Statistical Association 57: 269–306.

———. 1972. “More Concepts of Statistical Evidence.” Journal of the American Statistical Association 67: 858–61.

Box, G. E. P. 1979. “Robustness in the Strategy of Scientific Model Building.” In Robustness in Statistics, edited by R. L. Launer and G. N. Wilkinson, 201–36. Academic Press, New York, USA.

Casella, G., and R. L. Berger. 2002. Statistical Inference. 2nd ed. Pacific Grove, CA: Duxbury.

Cox, D. R. 2006. Principles of Statistical Inference. Cambridge, UK: Cambridge University Press.

Cox, D. R., and D. V. Hinkley. 1974. Theoretical Statistics. London, UK: Chapman; Hall.

Davison, A. C. 2003. Statistical Models. Cambridge, UK: Cambridge University Press.

Dawid, A. P. 1977. “Conformity of Inference Patterns.” In Recent Developments in Statistics, edited by J. R. Barra et al. Amsterdam: North-Holland Publishing Company.

DiCiccio, T. J., and B. Efron. 1996. “Bootstrap Confidence Intervals.” Statistical Science 11 (3): 189–212.

Efron, B., and T. Hastie. 2016. Computer Age Statistical Inference. New York NY, USA: Cambridge University Press.

Efron, B., and C. Morris. 1977. “Stein’s Paradox in Statistics.” Scientific American 236 (5): 119–27.

Fisher, R. A. 1956. Statistical Methods and Scientific Inference. Edinburgh; London: Oliver; Boyd.

Ghosh, M., and G. Meeden. 1997. Bayesian Methods for Finite Population Sampling. London, UK: Chapman & Hall.

Greenland, S., S. J. Senn, K. J. Rothman, J. B. Carlin, C. Poole, S. N. Goodman, and D. G. Altman. 2016. “Statistical Tests, p Values, Confidence Intervals, and Power: A Guide to Misinterpretations.” European Journal of Epidemiology 31: 337–50.

James, W., and C. Stein. 1961. “Estimation with Quadratic Loss.” In Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, 1:361–80. University of California Press.

Lindley, D. V. 1957. “A Statistical Paradox.” Biometrika 44: 187–92.

MacKay, D. J. C. 2009. Sustainable Energy – Without the Hot Air. Cambridge, UK: UIT Cambridge Ltd.

Mardia, K. V., J. T. Kent, and J. M. Bibby. 1979. Multivariate Analysis. London, UK: Harcourt Brace & Co.

Morey, R. D., R. Hoekstra, J. N. Rouder, M. D. Lee, and E-J Wagenmakers. 2016. “The Fallacy of Placing Confidence in Confidence Intervals.” Psychonomic Bullentin & Review 23 (1): 103–23.

O’Hagan, A., and J. Forster. 2004. Bayesian Inference. 2nd ed. Vol. 2b. Kendall’s Advanced Theory of Statistics. London: Edward Arnold.

Robert, C. P. 2007. The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation. New York, USA: Springer.

Rubin, D. B. 1984. “Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician.” The Annals of Statistics 12 (4): 1151–72.

Samworth, R. J. 2012. “Stein’s Paradox.” Eureka 62: 38–41.

Savage, L. J. et al. 1962. The Foundations of Statistical Inference. London, UK: Methuen.

Schervish, M. J. 1995. Theory of Statistics. New York NY, USA: Springer.

Smith, J. Q. 2010. Bayesian Decision Analysis: Principle and Practice. Cambridge, UK: Cambridge University Press.

Stein, C. 1956. “Inadmissibility of the Usual Estimator for the Mean of a Multivariate Normal Distribution.” In Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, 1:197–206. University of California Press.

Vaart, A. W. van der. 1998. Asymptotic Statistics. Cambridge, UK: Cambridge University Press.

Wasserstein, R. L., and N. A. Lazar. 2016. “The ASA’s Statement on p-Values: Context, Process, and Purpose.” The American Statistician 70 (2): 129–33.

Wilks, S. S. 1938. “The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses.” The Annals of Mathematical Statistics 9 (1): 60–62.

Wood, S. 2017. Generalized Linear Models: An Introduction with r. 2nd ed. Boca Raton FL, USA: CRC Press.

Young, G. A., and R. L. Smith. 2005. Essentials of Statistical Inference. Cambridge UK: Cambridge University Press.