Comparing non-parametric regression lines via regression depth
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Publication:3564769
DOI10.1080/00949650802662805zbMath1187.62078OpenAlexW2043076988MaRDI QIDQ3564769
Publication date: 26 May 2010
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949650802662805
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Robustness and adaptive procedures (parametric inference) (62F35)
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- A comparison of six smoothers when there are multiple predictors
- Nonparametric curve estimation. Methods, theory, and applications
- Nonparametric comparison of several regression functions: Exact and asymptotic theory
- Nonparametric comparison of regression curves: An empirical process approach
- Testing the equality of nonparametric regression curves
- A distribution-free theory of nonparametric regression
- Robust designs for polynomial regression by maximizing a minimum of \(D\)- and \(D_1\)-efficiencies
- Local linear regression smoothers and their minimax efficiencies
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Non-Parametric Analysis of Covariance
- Notions of Limiting P Values Based on Data Depth and Bootstrap
- Covariate-Matched One-Sided Tests for the Difference Between Functional Means
- Smoothing Parameter Selection for Power Optimality in Testing of Regression Curves
- Regression Depth
- Graphical Comparison of Nonparametric Curves
- Comparison of Regression Curves Using Quasi-Residuals
- Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
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