Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
Joint Authors
Ge, Meimei
Xia, Fengxi
Wang, Xuejun
Yang, Wenzhi
Hu, Shuhe
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We study the complete consistency for estimator of nonparametric regression model based on ρ~-mixing sequences by using the classical Rosenthal-type inequality and the truncated method.
As an application, the complete consistency for the nearest neighbor estimator is obtained.
American Psychological Association (APA)
Wang, Xuejun& Xia, Fengxi& Ge, Meimei& Hu, Shuhe& Yang, Wenzhi. 2012. Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-507114
Modern Language Association (MLA)
Wang, Xuejun…[et al.]. Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences. Abstract and Applied Analysis No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-507114
American Medical Association (AMA)
Wang, Xuejun& Xia, Fengxi& Ge, Meimei& Hu, Shuhe& Yang, Wenzhi. Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-507114
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507114
