References

  1. Agresti, A. 1992. A survey of exact inference for contingency tables. Stat. Sci. 7: 131–153.
  2. Agresti, A. 2010. Analysis of Ordinal Categorical Data, 2nd ed. John Wiley & Sons, Inc.
  3. Agresti, A. 2013. Categorical Data Analysis, 3rd ed. John Wiley & Sons, Inc.
  4. Agresti, A., J. Booth, J. Hobert, and B. Caffo. 2000. Random-effects modeling of categorical response data. Sociol. Methodol. 30: 27–81.
  5. Agresti, A., B. Caffo, and P. Ohman-Strickland. 2004. Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies. Comput. Stat. Data An. 47: 639–653.
  6. Aitchison, J., and J. A. Bennett. 1970. Polychotomous quantal response by maximum indicant. Biometrika 57: 253–262.
  7. Aitken, A. C. 1935. On least squares and linear combinations of observations. Proc. Roy. Soc. Edinburgh. 55: 42–48.
  8. Aitkin, M., and D. Clayton. 1980. The fitting of exponential, Weibull, and extreme value distributions to complex censored survival data using GLIM. Appl. Stat. 29: 156–163.
  9. Aitkin, M., and D. B. Rubin. 1985. Estimation and hypothesis testing in finite mixture models, J. Roy. Stat. Soc. B 47: 67–75.
  10. Aitkin, M., D. Anderson, and J. Hinde. 1981. Statistical modelling of data on teaching styles. J. Roy. Stat. Soc. A 144: 419–461.
  11. Aitkin, M., B. J. Francis, J. P. Hinde, and R. E. Darnell. 2009. Statistical Modelling in R. Oxford: Oxford University Press.
  12. Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. In Second ...

Get Foundations of Linear and Generalized Linear Models now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.