Edgeworth Approximation for MINPIN Estimators in Semiparametric Regression Models
暂无分享,去创建一个
[1] Oliver Linton,et al. SECOND ORDER APPROXIMATION IN THE PARTIALLY LINEAR REGRESSION MODEL , 1995 .
[2] Oliver Linton,et al. Adaptive Estimation in ARCH Models , 1993, Econometric Theory.
[3] Stefun D. Leigh. U-Statistics Theory and Practice , 1992 .
[4] P. Robinson,et al. AUTOMATIC FREQUENCY DOMAIN INFERENCE ON SEMIPARAMETRIC AND NONPARAMETRIC MODELS , 1991 .
[5] Andrew Chesher,et al. Asymptotic expansions of the informa-tion matrix test statistic , 1991 .
[6] P. Robinson,et al. Best nonlinear three-stage least squares estimation of certain econometric models , 1991 .
[7] D. Andrews. Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models , 1991 .
[8] Thomas Mikosch,et al. Functional limit theorems for random quadratic forms , 1991 .
[9] W. Newey,et al. Semiparametric Efficiency Bounds , 1990 .
[10] Thomas M. Stoker,et al. Semiparametric Estimation of Index Coefficients , 1989 .
[11] J. Stock. Nonparametric Policy Analysis , 1989 .
[12] Raymond J. Carroll,et al. Variance Function Estimation in Regression: the Effect of Estimating the Mean , 1988 .
[13] P. Robinson. ROOT-N-CONSISTENT SEMIPARAMETRIC REGRESSION , 1988 .
[14] Whitney K. Newey,et al. Adaptive estimation of regression models via moment restrictions , 1988 .
[15] P. Robinson,et al. The stochastic difference between econometric statistics , 1988 .
[16] Hung Chen,et al. Convergence Rates for Parametric Components in a Partly Linear Model , 1988 .
[17] F. Götze. Approximations for multivariate U —statistics , 1987 .
[18] P. McCullagh. Tensor Methods in Statistics , 1987 .
[19] P. Robinson. Asymptotically efficient estimation in the presence of heteroskedasticity of unknown form , 1987 .
[20] Charles F. Manski,et al. Monte Carlo evidence on adaptive maximum likelihood estimation of a regression , 1987 .
[21] F. Götze,et al. The Edgeworth Expansion for $U$-Statistics of Degree Two , 1986 .
[22] Anne Lohrli. Chapman and Hall , 1985 .
[23] Thomas J. Rothenberg,et al. APPROXIMATE NORMALITY OF GENERALIZED LEAST SQUARES ESTIMATES , 1984 .
[24] R. Hogg,et al. On adaptive estimation , 1984 .
[25] Raymond J. Carroll,et al. Adapting for Heteroscedasticity in Linear Models , 1982 .
[26] H. Callaert,et al. An Edgeworth Expansion for $U$-Statistics , 1980 .
[27] P. R. Krishnaiah,et al. Developments in Statistics , 1979 .
[28] J. Ghosh,et al. ON THE VALIDITY OF THE FORMAL EDGEWORTH EXPANSION , 1978 .
[29] P. Phillips. A General Theorem in the Theory of Asymptotic Expansions as Approximations to the Finite Sample Distributions of Econometric Estimators , 1977 .
[30] P. Phillips. An approximation to the finite sample distribution of Zellner's seemingly unrelated regression estimator , 1977 .
[31] Peter C. B. Phillips,et al. Approximations to Some Finite Sample Distributions Associated with a First-Order Stochastic Difference Equation , 1977 .
[32] J. D. Sargan,et al. Econometric Estimators and the Edgeworth Approximation , 1976 .
[33] R. Rao,et al. Normal Approximation and Asymptotic Expansions , 1976 .
[34] J. Pfanzagl. Asymptotic Expansions Related to Minimum Contrast Estimators , 1973 .
[35] F. Peracchi,et al. Applied Nonparametric Methods , 2012 .
[36] W. Härdle. Applied Nonparametric Regression , 1992 .
[37] Thomas M. Stoker. Smoothing bias in derivative estimation , 1990 .
[38] P. Robinson. Semiparametric econometrics: A survey , 1988 .
[39] H. Müller. Nonparametric regression analysis of longitudinal data , 1988 .
[40] Thomas J. Rothenberg,et al. Approximating the distributions of econometric estimators and test statistics , 1984 .
[41] Charles F. Manski,et al. Adaptive estimation of non–linear regression models , 1984 .
[42] J. Pfanzagl,et al. Asymptotic Expansions in Parametric Statistical Theory , 1980 .