General Statistics Examples


References

  • Bassett, G. W., and Koenker, R. (1982). “An Empirical Quantile Function for Linear Models with iid Errors.” Journal of the American Statistical Association 77:401–415.

  • Bishop, Y. M. M., Fienberg, S. E., and Holland, P. W. (1975). Discrete Multivariate Analysis: Theory and Practice. Cambridge, MA: MIT Press.

  • Charnes, A., Frome, E. L., and Yu, P. L. (1976). “The Equivalence of Generalized Least Squares and Maximum Likelihood Estimation in the Exponential Family.” Journal of the American Statistical Association 71:169–171.

  • Cox, D. R. (1970). Analysis of Binary Data. London: Metheun.

  • Cox, D. R., and Snell, E. J. (1989). The Analysis of Binary Data. 2nd ed. London: Chapman & Hall.

  • Grizzle, J. E., Starmer, C. F., and Koch, G. G. (1969). “Analysis of Categorical Data by Linear Models.” Biometrics 25:489–504.

  • Hadley, G. (1962). Linear Programming. Reading, MA: Addison-Wesley.

  • Hartley, H. O. (1961). “The Modified Gauss-Newton Method for the Fitting of Non-linear Regression Functions by Least Squares.” Technometrics 3:269–280.

  • Jennrich, R. I., and Moore, R. H. (1975). “Maximum Likelihood Estimation by Means of Nonlinear Least Squares.” American Statistical Association, 1975 Proceedings of the Statistical Computing Section 57–65.

  • Kaiser, H. F., and Caffrey, J. (1965). “Alpha Factor Analysis.” Psychometrika 30:1–14.

  • Kastenbaum, M. A., and Lamphiear, D. E. (1959). “Calculation of Chi-Square to Test the No Three-Factor Interaction Hypothesis.” Biometrics 15:107–122.

  • Koenker, R., and Bassett, G. W. (1978). “Regression Quantiles.” Econometrica 46:33–50.

  • Madsen, K., and Nielsen, H. B. (1993). “A Finite Smoothing Algorithm for Linear $L_1$ Estimation.” SIAM Journal on Optimization 3:223–235.

  • Nelder, J. A., and Wedderburn, R. W. M. (1972). “Generalized Linear Models.” Journal of the Royal Statistical Society, Series A 135:370–384.