Abstract
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 application of the method. © 2014 Si-Lian Shen et al.
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CITATION STYLE
APA
Shen, S. L., Cui, J. L., & Wang, C. W. (2014). Testing heteroscedasticity in nonparametric regression based on trend analysis. Journal of Applied Mathematics, 2014. https://doi.org/10.1155/2014/435925
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