68
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

The T-type estimate of a class of partially non linear models

, &
Pages 976-999 | Received 02 Apr 2013, Accepted 10 Sep 2013, Published online: 10 Feb 2016

References

  • Bocheng, W., Jinguan, L., Fengchang, X. (2009). Statistical Diagnostics. Beijing: Higher Education Press.
  • Carroll, R. J., Ruppert, D. (1988). Transformation and Weighting in Regression, vol. 30. New York: Chapman & Hall/CRC.
  • Cui, H. (2004). On asymptotics of t-type regression estimation in multiple linear model. Sci. China Ser. A: Math. 47(4):628–639.
  • Cui, H. (2006a). T-type estimators and em algorithm in linear model and linear errors-in-variables model. Chinese J. Appl. Probab. Stat. 3: 013.
  • Cui, H. (2006b). T-type estimators and em algorithm in linear model and linear errors-in-variables model. Chinese J. Appl. Probab. Stat. 3: 013.
  • Engle, R.F., Granger, C.W.J., Rice, J., Weiss, A. (1986). Semiparametric estimates of the relation between weather and electricity sales. J. Am. Stat. Assoc. 81(394):310–320.
  • Fan, J., Huang, T. (2005). Profile likelihood inferences on semiparametric varying-coefficient partially linear models. Bernoulli 11(6):1031–1057.
  • Härdle, W., Liang, H., Gao, J. (2000). Partially Linear Models. Berlin: Physica Verlag.
  • He, X., Cui, H., Simpson, D.G. (2004). Longitudinal data analysis using t-type regression. J. Stat. Plan. Inf. 122(1):253–269.
  • He, X., Shi, P. (1996). Bivariate tensor-product b-splines in a partly linear model. J. Multivar. Anal. 58(2):162–181.
  • He, X., Simpson, D.G., Wang, G. (2000). Breakdown points of t-type regression estimators. Biometrika 87(3):675–687.
  • Hu, T., Cui, H. (2009). T-type estimators for a class of linear errors-in-variables models. Stat. Sinica 19(3):1013.
  • Hu, T., Cui, H. (2010). Sieve m-estimation for semiparametric varying-coefficient partially linear regression model. Sci. China Math. 53(8):1995–2010.
  • Huang, J. (1996). Efficient estimation for the proportional hazards model with interval censoring. Annals Stat. 24(2):540–568.
  • Huang, T.M., Chen, H. (2008). Estimating the parametric component of nonlinear partial spline model. J. Multivar. Anal. 99(8):1665–1680.
  • Hurvich, C.M., Tsai, C.L. (1989). Regression and time series model selection in small samples. Biometrika 76(2):297–307.
  • Kai, B., Li, R., Zou, H. (2011). New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models. Annals Stat. 39(1):305.
  • Lange, K.L., Little, R.J.A., Taylor, J.M.G. (1989). Robust statistical modeling using the t distribution. J. Am. Stat. Assoc. 84(408):881–896.
  • Pollard, D. (1984). Convergence of Stochastic Process. New York: Springer-Verlag.
  • Robinson, P.M. (1988). Root-n-consistent semiparametric regression. Econometrica: J. Econ. Soc. 56:931–954.
  • Ruppert, D., Wand, M., Carroll, R. (2003). Semiparametric Regression. Cambridge: Cambridge University Press.
  • Shen, X., Wong, W.H. (1994). Convergence rate of sieve estimates. Annals Stat. 22:580–615.
  • Van der Vaart, A., Wellner, J. (1996). Weak Convergence and Empirical Processes: with Applications to Statistics. New York: Springer.
  • Wang, H.J., Zhu, Z., Zhou, J. (2009). Quantile regression in partially linear varying coefficient models. Annals Stat. 37(68):3841–3866.
  • Yatchew, A. (2003). Semiparametric Regression for the Applied Econometrician. Cambridge: Cambridge University Press.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.