JOURNAL ARTICLE

Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis

Si-Lian ShenJian-Ling CuiChunwei Wang

Year: 2014 Journal:   Journal of Applied Mathematics Vol: 2014 Pages: 1-5   Publisher: Hindawi Publishing Corporation

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.

Keywords:
Heteroscedasticity Nonparametric statistics Nonparametric regression Statistics Regression analysis Econometrics Computer science Regression Mathematics

Metrics

4
Cited By
0.75
FWCI (Field Weighted Citation Impact)
17
Refs
0.86
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Spatial and Panel Data Analysis
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics
Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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