References

Required

King, Gary. 1989. Unifying Political Methodology: The Likelihood Theory of Statistical Inference Ann Arbor: University of Michigan Press.  
A variety of papers will be assigned as well, available on the web.

Recommended

It is also helpful to have access to a book on R/S programming such as

  • Fox, John.  2002.  An R and S-Plus Companion to Applied Regression.  Sage Publications.
  • Imai, Kosuke, Gary King, and Olivia Lau.  2011.  Zelig: Everyone's Statistical Software, Manuscript.
  • Ripley, Brian D. and Venables, William N. 2002. Modern Applied Statistics with S, Springer.                    

Suggested

  • Pawitan, Yudi. 2001. In All Likelihood: Statistical Modelling and Inference Using Likelihood. Oxford University Press
  • Barnett, Vic. 1982. Comparative Statistical Inference.  2nd edition. Wiley.
  • Chiang, Alpha. 1984. Fundamental Methods of Mathematical Economics.  McGraw-Hill.
  • DeGroot, Morris H. 1986. Probability and Statistics. Addison-Wesley. or Mendenhall, William and Robert J. Beaver.\ 1994.  Mathematical Statistics with Applications. Duxbury.
  • Edwards, A.W.F. 1984. Likelihood. Cambridge University Press.
  • Gelman, Andrew et al. 2004. Bayesian Data Analysis.  Chapman and Hall.
  • Gill, Jeff. 2008. Bayesian Methods: A Social and Behavioral Sciences Approach, 2nd ed, Chapman and Hall.
  • Harvey, Andrew C. 1990. The Econometric Analysis of Time Series. MIT Press.
  • Joreskog, Karl G. and Dag Sorbom, edited by Jay Magidson.  1979. Advances in Factor Analysis and Structural Equation Models.  University Press of America.
  • King, Gary. 1997. A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data. Princeton: Princeton University Press. 
  • Kleppner, Daniel and Norman Ramsey.  Quick Calculus. Wiley.
  • Lee J. Bain and Max Engelhardt. 1987. Introduction to Probability and Mathematical Statistics.  Duxbury.
  • McCullagh, Peter and J. A. Nelder. 1993. Generalized Linear Models Chapman-Hall.
  • Mills, Terence C. 1990. Time Series Techniques for Economists. New York: Cambridge University Press.
  • Norman J. Johnson and Samuel Kotz.  Distributions in Statistics, four volumes.  John Wiley and Sons.
  • Rice, John A. 1995. Mathematical Statistics and Data Analysis, 2nd Ed.  Belmont, CA: Duxbury Press.
  • Rubinsten, Reuven Y. 1981. Simulation and the Monte Carlo Method, New York: John Wiley.
  • Schafer, Joseph L. 1997. Analysis of Incomplete Multivariate Data. New York: Chapman-Hall.
  • Tanner, Martin A. 1996. Tools for statistical inference: observed data and data augmentation methods, 3rd edition.  New York: Springer.