[40] Markatou, M., Basu, A., and Lindsay, B. (1997). Weighted likelihood
estimating equations: the discrete case with applications to logistic re-
gression. Journal of Statistical Planning and Inference 57(2), 215-232.
[41] Maronna, R. A., Bustos, O. H., and Yohai, V. J. (1979). Bias- and
efficiency-robustness of general M-estimators for regression with random
carriers. In T. Gasser and M. Rossenblatt (eds.) Smoothing Techniques
for Curve Estimation. Springer, Berlin, 91-116.
[42] Maronna, R. A., and Yohai, V. J. (1997). Robust estimation in simul-
taneous equations models. Journal of Statistical Planning and Inference
57(2), 233-244.
[43] Maronna, R. A., and Yohai, V. J. (2000). Robust regression with both
continuous and categorical predictors. Journal of Statistical Planning
and Inference 89, 197-214.
[44] Muller, C. H., and Neykov, N. (2003). Breakdown points of trimmed
likelihood estimators and related estimators in generalized linear models.
Journal of Statistical Planning and Inference 116(2), 503-519.
[45] Ortelli, C., and Trojani, F. (2005). Robust efficient method of moments.
Journal of Econometrics 128, 69-97.
[46] Ronchetti, E., and Trojani, F. (2001). Robust inference with GMM es-
timators. Journal of Econometrics 101, 37-69.
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