The asymptotic properties of the estimators in a semiparametric regression model

Author:

Wang Xuejun,Ge Meimei,Wu Yi

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference27 articles.

1. Chen DC (1991) A uniform central limit theorem for nonuniform $$\varphi $$ φ -mixing random fields. Ann Prob 19(2):636–649

2. Dobrushin RL (1956) The central limit theorem for non-stationary Markov chain. Theory Prob Appl 1:72–88

3. Herrndorf N (1983) The invariance principle for $$\varphi $$ φ -mixing sequences. Zeitschrift fur Wahrscheinlichkeits-theorie und Verwandte 63(1):97–108

4. Hu SH (1997a) Nonparametric and semiparametric regression models with locally generalized Gaussian errors. Syst Sci Math Sci 10:80–90

5. Hu SH (1997b) Consistency estimate for a new semiparametric regression model. Acta Math Sin Chin Ser 40(4):527–536

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