Estimating the error distribution function in nonparametric regression with multivariate covariates

Ursula U. Müller; Anton Schίck; Wolfgang Wefelmeyer

doi:10.1016/j.spl.2008.11.024

ScienceGate Book Chapters

JOURNAL ARTICLE

Estimating the error distribution function in nonparametric regression with multivariate covariates

Ursula U. Müller Anton Schίck Wolfgang Wefelmeyer

Year: 2008 Journal: Statistics & Probability Letters Vol: 79 (7)Pages: 957-964 Publisher: Elsevier BV

DOI: 10.1016/j.spl.2008.11.024

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Statistics Empirical distribution function Covariate Nonparametric regression Nonparametric statistics Polynomial regression Residual Multivariate statistics Regression analysis Econometrics

Metrics

Cited By

1.08

FWCI (Field Weighted Citation Impact)

Refs

0.81

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Estimating the error distribution function in nonparametric regression with multivariate covariates

Metrics

Citation History

Topics

Related Documents

Nonparametric regression method with functional covariates and multivariate response

Nonparametric Regression with Censored Covariates

Estimating linear functionals of the error distribution in nonparametric regression

Estimating error correlation in nonparametric regression

Estimating the error distribution function in semiparametric regression