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, 169–172.

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

Cox, D. R. and Snell, E. J. (1989), The Analysis of Binary Data, 2nd Edition, 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 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.