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 ...

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