Estimation in partially linear models.
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Publication:1274571
DOI10.1016/S0167-9473(98)00054-1zbMath1042.62513OpenAlexW1982171259MaRDI QIDQ1274571
Publication date: 12 January 1999
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(98)00054-1
Related Items (30)
Constrained estimators of treatment parameters in semiparametric models ⋮ Performance of the difference-based estimators in partially linear models ⋮ Optimal difference-based estimation for partially linear models ⋮ A new difference-based weighted mixed Liu estimator in partially linear models ⋮ Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models ⋮ Efficiency of a Liu-type estimator in semiparametric regression models ⋮ A jackknifed difference-based ridge estimator in the partial linear model with correlated errors ⋮ Generalized F-test for high dimensional regression coefficients of partially linear models ⋮ Error variance estimation for the partially linear model ⋮ Difference-based ridge estimator of parameters in partial linear model ⋮ Unbiased Partial Spline Fitting under Autoregressive Errors ⋮ On the Preliminary Test Backfitting and Speckman Estimators in Partially Linear Models and Numerical Comparisons ⋮ Performance of the difference-based Liu-type estimator in partially linear model ⋮ Wavelet estimation of partially linear models ⋮ Estimation and inference in partially linear models with smoothing splines ⋮ Performance of Kibria's methods in partial linear ridge regression model ⋮ Using \(P\)-splines to test the linearity of partially linear models ⋮ A Partially Linear Model with Its Applications ⋮ Liu-type estimator in semiparametric regression models ⋮ A simple smoothing spline, III ⋮ Difference-based variance estimator for nonparametric regression in complex surveys ⋮ Adjusted Confidence Bands for Complex Survey Data ⋮ Efficiency of the generalized difference-based Liu estimators in semiparametric regression models with correlated errors ⋮ Performance of the difference-based almost unbiased Liu estimator in partial linear model ⋮ Ridge-type pretest and shrinkage estimations in partially linear models ⋮ Performance of Wald-type estimator for parametric component in partial linear regression with a mixture of Berkson and classical error models ⋮ Restricted Ridge Estimators of the Parameters in Semiparametric Regression Model ⋮ Difference based ridge and Liu type estimators in semiparametric regression models ⋮ Rational (Padé) approximation for estimating the components of the partially-linear regression model ⋮ Model specification tests in nonparametric stochastic regression models
Cites Work
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- Convergence rates for partially splined models
- A practical guide to splines
- Smoothing by spline functions.
- Asymptotically optimal difference-based estimation of variance in nonparametric regression
- Residual variance and residual pattern in nonlinear regression
- Incorporating Overlap Effects from Neighbouring Units into Response Surface Models
- Computation of Smoothing and Interpolating Natural Splines via Local Bases
- Smoothing noisy data with spline functions
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