Sieve least squares estimation for partially nonlinear models
暂无分享,去创建一个
[1] Hua Liang,et al. Statistical Inference in Single-Index and Partially Nonlinear Models , 1997 .
[2] Hongqi Xue,et al. Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data , 2004 .
[3] D. Pollard. Empirical Processes: Theory and Applications , 1990 .
[4] D. Pollard. Convergence of stochastic processes , 1984 .
[5] Jian Huang,et al. Sieve Estimation for the Proportional-Odds Failure-Time Regression Model with Interval Censoring , 1997 .
[6] Jian Huang,et al. Efficient estimation for the proportional hazards model with interval censoring , 1996 .
[7] A. A. Weiss,et al. Semiparametric estimates of the relation between weather and electricity sales , 1986 .
[8] Jon A. Wellner,et al. Weak Convergence and Empirical Processes: With Applications to Statistics , 1996 .
[9] V. V. Petrov. Sums of Independent Random Variables , 1975 .
[10] P. Speckman. Kernel smoothing in partial linear models , 1988 .
[11] W. Wong,et al. Convergence Rate of Sieve Estimates , 1994 .
[12] P. Robinson. ROOT-N-CONSISTENT SEMIPARAMETRIC REGRESSION , 1988 .
[13] Sylvie Huet,et al. Statistical tools for nonlinear regression : a practical guide with S-PLUS examples , 1997 .
[14] Xiaotong Shen,et al. On methods of sieves and penalization , 1997 .
[15] G. Wahba. Spline models for observational data , 1990 .
[16] Runze Li,et al. Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications , 2008, Biometrics.
[17] Wolfgang Härdle,et al. Partially Linear Models , 2000 .
[18] Hua Liang,et al. Second-order asymptotic efficiency of PMLE in generalized linear models , 1995 .