Smooth Residual Bootstrap for Empirical Processes of Non‐parametric Regression Residuals

By Natalie Neumeyer. 2009

48 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/20edecf7a62fd3ac9c530e8b009449b4f3975551

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Holger Dette
2. I. Van Keilegom
3. Wenceslao González-Manteiga
4. Rosa M. Crujeiras

In Statistics and Probability

1. Wenceslao González-Manteiga
2. Rosa M. Crujeiras
3. I. Van Keilegom
4. Natalie Neumeyer
5. Holger Dette
6. Stanislav Volgushev
7. Juan Carlos Pardo-Fernández
8. P. Groeneboom

Citations in the corpus

• An updated review of Goodness-of-Fit tests for regression models (2013, background): “See Van Keilegom et al. (2008a) and Khmadladze and Koul (2009) for p = 1 (one-dimensional covariate) and Neumeyer (2009) and Neumeyer and Van Keilegom (2010) for p ≥ 1.”
• A new test for the parametric form of the variance function in non‐parametric regression (2007, methodology): “Following the lines of argument in Neumeyer (2006a) (theorem 2.17) and Neumeyer (2006b) we obtain for estimator (4.2) F̂ Å " .y/= 1 n n∑ i=1 I [ Ui F̃" { y σ̂Å.”