[1] A. Antoniads, G. Gregoire and I. W. Mckeague, Wavelet methods for
curve estimation, J. Amer. Statist. Assoc. 89 (1994), 1340-1353.
[2] A. Bianco and G. Boente, Robust estimators in semiparametric
partly linear regression models, J. Statistical Planning and Inference
122 (2004), 229-252.
[3] G. Chai and K. Xu, Wavelet smoothing in semiparametric regression
model, Chinese Journal of Applied Probability and Statistics 15
(1999), 97-105.
[4] X. Chen and H. Cui, Empirical likelihood inference for partial
linear models under martingale difference sequence I, Statistics and
Probability Letters 78 (2008), 2895-2901.
[5] H. Chen, Convergence rates for parametric components in a partly
linear model, Annals of Statistics 16 (1988), 136-146.
[6] H. Chen and J. Shiah, Data-driven efficient estimation for a
partially linear model, Annals of Statistics 22 (1994), 211-237.
[7] G. Donald and K. Dewey, Series estimation of semilinear models,
Journal of Multivariate Analysis 50 (1994), 30-40.
[8] R. Engle, C. Granger, J. Rice and A. Weiss, Nonparametric
estimates of the relation between weather and electricity sales, J.
Amer. Statist. Assoc. 81 (1986), 310-320.
[9] S. A. Hamilton and Y. K. Truong, Local linear estimation in partly
linear models, Journal of Multivariate Analysis 60 (1997), 1-19.
[10] H. Hu and D. Hu, Strong consistency of wavelet estimation in
semiparametric regression models, Acta Math. Sinica (Chinese Series)
49(6) (2006), 1417-1424.
[11] S. Hu, Central limit theorem for weighted sum of martingale
difference, Acta Mathematicae Applicatae Sinica 24 (2001), 539-545.
[12] S. Hu, Fixed-design semiparametric regression for linear time
series, Acta Mathematica Scientia 26B(1) (2006), 74-82.
[13] S. Kundu, A. Majunder and K. Mukherjee, Central limit theorems
revisited, Statistics & Probability Letters 47 (2000), 265-275.
[14] B. Li and H. Hu, Asymptotic normality of wavelet estimators in
semiparametric regression models with martingale difference errors,
The Open Applied Mathematics Journal (to appear) 2009.
[15] G. Li and L. Liu, Strong consistency of a class estimators in
partial linear model under martingale difference sequence, Acta
Mathematica Scientia 27 (A) (2007), 788-801.
[16] W. Qian and G. Cai, Strong approximability of wavelet estimate in
semiparametric regression model, Science in China (Series A) 29
(1999), 233-240.
[17] W. Qian, G. Cai and F. Jiang, Error variance of wavelet estimate
in semiparametric regression, Chinese Journal of Annual of Maths. 21A
(2000), 341-350.
[18] R. J. Serfling, Approximation Theorems of Mathematical
Statistics, John Wiley & Sons, New York, 1980.
[19] P. Shi and X. Teng, Asymptotic distributions of M-estimators of
the parametric components of partly linear models with fixed carriers,
Advances in Mathematics 28 (1999), 447-461.
[20] P. Speckman, Kernel smoothing in partial linear models, J. R.
Statist. Soc. 50 (1988), 413-436.
[21] W. F. Stout, Almost Sure Convergence, Academic Press, New York,
1974.
[22] Z. Yan, W. Wu and Z. Nie, Near neighbour estimate in
semiparametric regression model: The martingale difference error
sequence case, Chinese Journal of Applied Probability and Statistics
17 (2001), 44-50.