Goodness-of-fit test for linear models based on local polynomials
We test if a regression function belongs to a class of parametric models by measuring the discrepancy between a parametric fit and a local polynomial regression. The proposed test is a weighted L2-norm of a smoothed function based on the parametric residuals.
Year of publication: |
1999
|
---|---|
Authors: | Alcalá, J. T. ; Cristóbal, J. A. ; González-Manteiga, W. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 42.1999, 1, p. 39-46
|
Publisher: |
Elsevier |
Subject: | Local polynomial Model checking Bootstrap |
Saved in:
Saved in favorites
Similar items by person
-
Error Process Indexed by Bandwidth Matrices in Multivariate Local Linear Smoothing
Cristóbal, J. A., (1998)
-
Bootstrap Selection of the Smoothing Parameter in Nonparametric Hazard Rate Estimation
González-Manteiga, W., (1996)
-
Bootstrap tests for nonparametric comparison of regression curves with dependent errors
Vilar-Fernández, J., (2007)
- More ...