Strong consistency of non parametric kernel regression estimator for strong mixing samples. Issue 21 (2nd November 2017)
- Record Type:
- Journal Article
- Title:
- Strong consistency of non parametric kernel regression estimator for strong mixing samples. Issue 21 (2nd November 2017)
- Main Title:
- Strong consistency of non parametric kernel regression estimator for strong mixing samples
- Authors:
- Yang, Xiutao
Yang, Shanchao
Yang, Xin - Abstract:
- ABSTRACT: For α-mixing samples, we study Priestley–Chao kernel estimator for non parametric regression model. By using the moment inequality and the exponential inequality, the strong consistency and the uniformly strong consistency of the estimator are obtained for some weak conditions.
- Is Part Of:
- Communications in statistics. Volume 46:Issue 21(2017)
- Journal:
- Communications in statistics
- Issue:
- Volume 46:Issue 21(2017)
- Issue Display:
- Volume 46, Issue 21 (2017)
- Year:
- 2017
- Volume:
- 46
- Issue:
- 21
- Issue Sort Value:
- 2017-0046-0021-0000
- Page Start:
- 10537
- Page End:
- 10548
- Publication Date:
- 2017-11-02
- Subjects:
- α-Mixing samples -- non parametric regression -- Priestley–Chao estimator -- strong consistency.
62G08 -- 62E20
Mathematical statistics -- Periodicals
Mathematics
Statistics
519.2 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03610926.2016.1239110 ↗
- Languages:
- English
- ISSNs:
- 0361-0926
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.432000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21683.xml