Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences

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.

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Main Authors: Xuejun Wang, Fengxi Xia, Meimei Ge, Shuhe Hu, Wenzhi Yang
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2012/907286
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author Xuejun Wang
Fengxi Xia
Meimei Ge
Shuhe Hu
Wenzhi Yang
author_facet Xuejun Wang
Fengxi Xia
Meimei Ge
Shuhe Hu
Wenzhi Yang
author_sort Xuejun Wang
collection DOAJ
description 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.
format Article
id doaj-art-beb3779e2aee406eb4ca5a100dfd8e35
institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-beb3779e2aee406eb4ca5a100dfd8e352025-02-03T06:01:11ZengWileyAbstract and Applied Analysis1085-33751687-04092012-01-01201210.1155/2012/907286907286Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing SequencesXuejun Wang0Fengxi Xia1Meimei Ge2Shuhe Hu3Wenzhi Yang4School of Mathematical Science, Anhui University, Hefei 230039, ChinaSchool of Mathematical Science, Anhui University, Hefei 230039, ChinaSchool of Mathematical Science, Anhui University, Hefei 230039, ChinaSchool of Mathematical Science, Anhui University, Hefei 230039, ChinaSchool of Mathematical Science, Anhui University, Hefei 230039, ChinaWe 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.http://dx.doi.org/10.1155/2012/907286
spellingShingle Xuejun Wang
Fengxi Xia
Meimei Ge
Shuhe Hu
Wenzhi Yang
Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
Abstract and Applied Analysis
title Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
title_full Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
title_fullStr Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
title_full_unstemmed Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
title_short Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
title_sort complete consistency of the estimator of nonparametric regression models based on ρ mixing sequences
url http://dx.doi.org/10.1155/2012/907286
work_keys_str_mv AT xuejunwang completeconsistencyoftheestimatorofnonparametricregressionmodelsbasedonrmixingsequences
AT fengxixia completeconsistencyoftheestimatorofnonparametricregressionmodelsbasedonrmixingsequences
AT meimeige completeconsistencyoftheestimatorofnonparametricregressionmodelsbasedonrmixingsequences
AT shuhehu completeconsistencyoftheestimatorofnonparametricregressionmodelsbasedonrmixingsequences
AT wenzhiyang completeconsistencyoftheestimatorofnonparametricregressionmodelsbasedonrmixingsequences