Replicability,Confidence,and Priors

Bernardo J.M. (in press). Reference analysis. In Dey D. Rao C.R. (Eds.), Handbook of statistics (Vol 25). Amsterdam: Elsevier.

Byrne M.D. (1993). A better tool for the Cognitive Scientist's toolbox: Randomization statistics. In Kintsch W. (Ed.), Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society (pp. 289–293). Mawah, NJ: Erlbaum (Available from http://chil.rice.edu/byrne/pubs.html)

Cumming G. (2005). Understanding the average probability of replication: Comment on Killeen (2005). Psychological Science, 16, 1002–1004.

Cumming G. Williams J. Fidler F. (2004). Replication and researchers' understanding of confidence intervals and standard error bars. Understanding Statistics, 3, 299–311.

Dixon P. (2003). The p-value fallacy and how to avoid it. Canadian Journal of Experimental Psychology, 57, 189–202.

Doros G. Geier A.B. (2005). Probability of replication revisited: Comment on “An alternative to null-hypothesis significance tests.” Psychological Science, 16, 1005–1006.

Efron B. Tibshirani R. (1993). An introduction to the bootstrap. London: Chapman & Hall.

Fidler F. Thomason N. Cumming G. Finch S. Leeman J. (2005). Still much to learn about confidence intervals. Psychological Science, 16, 494–495.

Field A.P. (2003). The problems in using fixed-effects models of meta-analysis on real-world data. Understanding Statistics, 2, 105–124.

Forster M. Sober E. (2004). Why likelihood? In Taper M.L. Lele S.R. (Eds.), The nature of scientific evidence: Statistical, philosophical, and empirical considerations (pp. 153–190). Chicago: University of Chicago Press.

Hand D.J. (2004). Measurement theory and practice. New York: Oxford University Press.

Hunter J.E. (1997). Needed: A ban on the significance test. Psychological Science, 8, 3–7.

Hunter M.A. May R.B. (2003). Statistical testing and null distributions: What to do when samples are not random. Canadian Journal of Experimental Psychology, 57, 176–188.

Killeen P.R. (2005). An alternative to null-hypothesis significance tests. Psychological Science, 16, 345–353.

Lee M.D. Wagenmakers E.-J. (2005). Bayesian statistical inference in psychology: Comment on Trafimow (2003). Psychological Review, 112, 662–668.

Lunneborg C.E. (2000). Data analysis by resampling: Concepts and applications. Pacific Grove, CA: Brooks/Cole/Duxbury.

Macdonald R.R. (2005). Why replication probabilities depend on prior probability distributions: A rejoinder to Killeen (2005). Psychological Science, 16, 1007–1008.

Maurer B.A. (2004). Models of scientific inquiry and statistical practice: Implications for the structure of scientific knowledge. In Taper M.L. Lele S.R. (Eds.), The nature of scientific evidence: Statistical, philosophical, and empirical considerations (pp. 17–50). Chicago: University of Chicago Press.

May K. (2003). A note on the use of confidence intervals. Understanding Statistics, 2, 133–135.

Neyman J. (1960). First course in probability and statistics. New York: Holt, Rinehart and Winston.

O'Hagan A. Forster J. (2004). Kendall's advanced theory of statistics: Vol. 2B: Bayesian inference (2nd ed.). New York: Oxford University Press.

Pitman E.J.G. (1937). Significance tests which may be applied to samples from any populations. Supplement to the Journal of the Royal Statistical Society, 4, 119–130.

Rinaman W.C. Heil C. Strauss M.T. Mascagni M. Sousa M. (1996). Probability and statistics. In Zwillinger D. (Ed.), CRC standard mathematical tables and formulae (30th ed., pp. 569–668). Boca Raton, FL: CRC Press.

Royall R. (1997). Statistical evidence: A likelihood paradigm. London: Chapman & Hall.

Savage L.J. (1972). The foundations of statistics (2nd ed.). New York: Dover.

Seidenfeld T. (1979). Philosophical problems of statistical inference: Learning from R. A. Fisher. London: D. Reidel.

Stigler S.M. (1996). Statistics and the question of standards. Journal of Research of the National Institute of Standards and Technology, 101, 779–789.

Youden W.J. (1972). Enduring values. Technometrics, 14, 1–11.