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Understanding Statistics Volume 1, 2002 - Issue 3
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Original Articles

The Incompleteness of Probability Models and the Resultant Implications for Theories of Statistical Inference

Ranald R. Macdonald
Pages 167-189 | Published online: 15 Jun 2010

Citations (12)

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Read on this site (3)

Dave Grayson. (2004) Some Myths and Legends in Quantitative Psychology. Understanding Statistics 3:2, pages 101-134.
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Emil J. Posavac. (2003) Response to Macdonald. Understanding Statistics 2:1, pages 71-72.
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Ranald R. Macdonald. (2003) On Determining Replication Probabilities: Comments on Posavac (2002). Understanding Statistics 2:1, pages 69-70.
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Articles from other publishers (9)

Andrew Rogers, Gordon R. Foxall & Peter H. Morgan. (2017) Building Consumer Understanding by Utilizing a Bayesian Hierarchical Structure within the Behavioral Perspective Model. The Behavior Analyst 40:2, pages 419-455.
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Jose D. Perezgonzalez. (2015) Commentary: Continuously cumulating meta-analysis and replicability. Frontiers in Psychology 6.
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Jose D. Perezgonzalez. (2015) Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing. Frontiers in Psychology 6.
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Vance W. Berger. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Mark Andrews & Thom Baguley. (2013) Prior approval: The growth of Bayesian methods in psychology. British Journal of Mathematical and Statistical Psychology 66:1, pages 1-7.
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Philip T. Smith. (2009) Ranald Macdonald and statistical inference. British Journal of Mathematical and Statistical Psychology 62:2, pages 195-199.
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Ranald R. Macdonald. (2016) Why Replication Probabilities Depend on Prior Probability Distributions. Psychological Science 16:12, pages 1007-1008.
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Vance W. Berger. 2005. Encyclopedia of Statistics in Behavioral Science. Encyclopedia of Statistics in Behavioral Science.
J.L. Moran & P.J. Solomon. (2004) A farewell to P-values?. Critical Care and Resuscitation 6:2, pages 130-137.
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