A jackknifed difference-based ridge estimator in the partial linear model with correlated errors
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Publication:2953978
DOI10.1080/02331888.2016.1230858zbMath1357.62253OpenAlexW2518814895MaRDI QIDQ2953978
Publication date: 11 January 2017
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2016.1230858
partial linear modeldifferencing estimatordifference-based ridge estimatorjackknifed difference-based ridge estimator
Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Bootstrap, jackknife and other resampling methods (62F40)
Related Items (4)
Efficiency of the generalized restricted difference-based almost unbiased ridge estimator in partially linear model ⋮ Adaptation of the jackknifed ridge methods to the linear mixed models ⋮ A generalized difference-based mixed two-parameter estimator in partially linear model ⋮ Generalized difference-based weighted mixed almost unbiased ridge estimator in partially linear models
Cites Work
- Difference-based ridge estimator of parameters in partial linear model
- Difference based ridge and Liu type estimators in semiparametric regression models
- Convergence rates for partially splined models
- Semiparametric estimation of censored selection models with a nonparametric selection mechanism
- Estimation in partially linear models.
- An elementary estimator of the partial linear model
- Ridge regression methodology in partial linear models with correlated errors
- On estimation of noise variance in two-dimensional signal processing
- Semiparametric Regression for the Applied Econometrician
- On Difference-Based Variance Estimation in Nonparametric Regression When the Covariate is High Dimensional
- Performance of the difference-based estimators in partially linear models
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