[1] M. G. Ben, E. Martinez and V. J. Yohai, Robust estimation for the
multivariate linear model based on a T-scale, J. Multivariate
Analysis 97 (2006), 1600-1622.
[2] T. Hastie and R. Tibshirani, Varying-coefficient models, J. Royal
Statist. Soc. Series B 55 (1993), 757-796.
[3] P. J. Huber, Robust estimation of a location parameter, Ann. Math.
Statist. 35 (1964), 73-101.
[4] P. J. Huber, Robust regression: Asymptotics, conjectures and Monte
carlo, Ann. Statistics 1 (1973), 799-821.
[5] R. Maronna, D. R. Martin and V. J. Yohai, Robust Statistics-Theory
and Methods, Wiley, (2006).
[6] R. F. Potthoff and S. N. Roy, A generalized multivariate analysis
of variance model useful especially for growth curve problems,
Biometrika 51 (1964), 313-326.
[7] P. J. Rousseeuw, S. V. Aelst, K. V. Driessen and J. A. Gulló,
Robust multivariate regression, Technometrics 46 (2004), 293-305.
[8] K. Satoh, M. Kobayashi and Y. Fujikoshi, Variable selection for
the growth curve model, J. Multivariate Analysis 60 (1997),
277-292.
[9] K. Satoh, H. Yanagihara and M. Ohtaki, Bridging the gap between
B-spline and polynomial regression model, Comm. Statist.
Comput. Simul. 32 (2003), 179-190.
[10] K. Satoh and H. Yanagihara, Estimation of varying coefficients
for a growth curve model, American Journal of Mathematical and
Management Sciences, in press, (2010).
[11] E. F. Vonesh and R. L. Carter, Efficients inference for
random-coefficient growth curve models with unbalanced data,
Biometrics 43 (1987), 617-628.
[12] B. Wilson and M. Hilferty, The distribution of chi-square,
Proceedings of the National Academy of Sciences 17 (1931), 684-688.