The Strong Consistency of the Estimator of Fixed-Design Regression Model under Negatively Dependent Sequences
We study the strong consistency of estimator of fixed design regression model under negatively dependent sequences by using the classical Rosenthal-type inequality and the truncated method. As an application, the strong consistency for the nearest neighbor estimator is obtained.
Saved in:
Main Authors: | Xuejun Wang, Meimei Ge, Shuhe Hu, Xize Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2013/521618 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
by: Xuejun Wang, et al.
Published: (2012-01-01) -
Convergence Properties for Asymptotically almost Negatively Associated Sequence
by: Xuejun Wang, et al.
Published: (2010-01-01) -
Strong Consistency of Estimators in a Partially Linear Model with Asymptotically Almost Negatively Associated Errors
by: Yu Zhang, et al.
Published: (2020-01-01) -
On Complete Convergence of Moving Average Process for AANA Sequence
by: Wenzhi Yang, et al.
Published: (2012-01-01) -
On the Existence of Strongly Consistent Indirect Estimators When the Binding Function Is Compact Valued
by: Stelios Arvanitis
Published: (2013-01-01)