Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10525895 | Statistics & Probability Letters | 2005 | 10 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Jinhong You, Gemai Chen,