Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis
Joint Authors
Shen, Si-Lian
Wang, Chun-Wei
Cui, Jian-Ling
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-11
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shen, Si-Lian& Cui, Jian-Ling& Wang, Chun-Wei. 2014. Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-472075
Modern Language Association (MLA)
Shen, Si-Lian…[et al.]. Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis. Journal of Applied Mathematics No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-472075
American Medical Association (AMA)
Shen, Si-Lian& Cui, Jian-Ling& Wang, Chun-Wei. Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-472075
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472075
