A Selection of Selection Anomalies (With S

A Selection of Selection Anomalies (With S

Reading List for Statistics 112

Textbook – M&M
Moore, D. S., McCabe, G. P. & Craig, B. A. (2012). Introduction to the Practice of Statistics (7th edition). Freeman & Co.: New York.

Recommended

GDWainer, H. (2005). Graphic Discovery: A trout in the milk and other visual adventures. Princeton University Press: Princeton, NJ. ** On reserve in Library **

PUWWainer, H. (2009). Picturing the Uncertain World: How to Understand, Communicate and Control Uncertainty through Graphical Display . Princeton, NJ: Princeton University Press. ** On reserve in Library**

Readings

  1. Arbuthnot, J. (1710). An argument for Divine Providence taken from the Constant Regularity in the Births of Both Sexes. Philosophical Transactions of the Royal Society, London, 27, 186-190.
  2. De Veaux, R. D. & Velleman, P. F. (2008). Math is Music; Statistics is Literature – or Why are there no six year old Novelists? AMSTAT News, August, 374.
  3. Friendly, M. & Wainer, H. (2004). Nobody’s perfect. Chance,17(2), 48-51.
  4. Holland, P. W. (1986a). Statistics and causal inference. Journal of the American Statistical Association. 81, 945-970.
  5. Holland, P. W. (1986b). Which comes first, cause or effect? The New York Statistician, 38, 1-6.
  6. Lee, G., Velleman, P. & Wainer, H. (2008). Giving the finger to dating services, Chance, 21(3), 59-61.
  7. Lord, F. M. (1967). A paradox in the interpretation of group comparisons. Psychological Bulletin, 68, 304-305.
  8. Simpson, E. H. (1951). The interpretation of interaction in contingency tables. Journal of the Royal Statistical Society, B, 13, 238-241.
  9. Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley. ** On reserve in Library **
  10. Vasilescu, D. & Wainer, H. (2005). Old Mother Hubbard and the United Nations: An adventure in exploratory data analysis.. (with discussion). Chance,18(3), 38-45.
  11. Wainer, H. (1976). Estimating coefficients in linear models: It don’t make no nevermind. Psychological Bulletin, 83, 213-217.
  12. Wainer, H. (1983). Multivariate displays. In M. H. Rizvi, J. Rustagi & D. Siegmund (Eds.), Recent advances in statistics (pp. 469-508). New York: Academic Press.
  13. Wainer, H. (2000). Testing the disabled: Using statistics to navigate between the Scylla of standards and the Charybdis of court decisions. Chance, 13(2), 42-44.
  14. Wainer, H. (2000). Visual Revelations: Graphical Tales of Fate and Deception from Napoleon Bonaparte to Ross Perot. (2nd edition) Hillsdale, N. J.: Lawrence Erlbaum Associates. . ** On reserve in Library **
  15. Wainer, H. (2003). A graphical legacy of Charles Joseph Minard: Two jewels from the past. Chance,16(1), 56-60.
  16. Wainer, H. and Brown, L. (2004). Two statistical paradoxes in the interpretation of group differences: Illustrated with medical school admission and licensing data. The American Statistician, 58, 117-123.
  17. Wainer, H. (2007). The most dangerous equation. The American Scientist,95(3), 249-256.
    See also:
    Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus & Giroux. Chapters 10 and 17. . ** On reserve in Library **
  18. Playfair, W. (1781). The Commercial and Political Atlas and The Statistical Breviary. Republished in 2005 by Cambridge University Press: New York. Edited and introduced by Howard Wainer and Ian Spence. . ** On reserve in Library **
  19. Savage, S. & Wainer, H. (2008). Until Proven Guilty: False Positives and the War on Terror, Chance, 21(1), 55-58.
  20. Feinberg, R. & Wainer, H. (2011). Extracting Sunbeams from Cucumbers. Journal of Computational and Graphical Statistics, Vol. 20, No. 4: 1-18. (need to get a copy for course web-site).
  21. Efron, B. and Gong, G. (1983) A leisurely look at the Bootstrap, the Jackknife and Cross-Validation. American Statistician, 37, 36-48.
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