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Testing heteroscedasticity in partially linear regression models

Authors :
Gemai Chen
Jinhong You
Source :
Statistics & Probability Letters. 73:61-70
Publication Year :
2005
Publisher :
Elsevier BV, 2005.

Abstract

Efficient inference for regression models requires that heteroscedasticity be taken into account if it exists. For partially linear regression models, however, the problem of detecting heteroscedasticity has received very little attention. The aim of this paper is to propose a test of heteroscedasticity for partially linear regression models.

Details

ISSN :
01677152
Volume :
73
Database :
OpenAIRE
Journal :
Statistics & Probability Letters
Accession number :
edsair.doi...........f040816d87735133a9407c35b12cbdf5