Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis
We first propose in this paper a new test method for detecting heteroscedasticity of the error term in nonparametric regression. Some simulation experiments are then conducted to evaluate the performance of the proposed methodology. A real-world data set is finally analyzed to demonstrate the applic...
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| Main Authors: | Si-Lian Shen, Jian-Ling Cui, Chun-Wei Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/435925 |
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