The strong uniform consistency of kernel estimator of a smooth distribution function in censored linear regression. Issue 1 (2nd January 2021)
- Record Type:
- Journal Article
- Title:
- The strong uniform consistency of kernel estimator of a smooth distribution function in censored linear regression. Issue 1 (2nd January 2021)
- Main Title:
- The strong uniform consistency of kernel estimator of a smooth distribution function in censored linear regression
- Authors:
- Cheng, Fuxia
- Abstract:
- ABSTRACT: This paper considers the kernel estimation of a smooth error distribution function in linear regression with right-censored data. Based on the Kaplan–Meier estimator of the residual distribution, we define the kernel-smoothed estimator of the error distribution function. Under the appropriate conditions, uniformly strong consistency of the proposed estimator is obtained.
- Is Part Of:
- Statistics. Volume 55:Issue 1(2021)
- Journal:
- Statistics
- Issue:
- Volume 55:Issue 1(2021)
- Issue Display:
- Volume 55, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 55
- Issue:
- 1
- Issue Sort Value:
- 2021-0055-0001-0000
- Page Start:
- 110
- Page End:
- 119
- Publication Date:
- 2021-01-02
- Subjects:
- Strong consistency -- censored linear regression -- Kaplan–Meier estimator -- right censored data -- Kernel estimation
62N01 -- 62G20
Mathematical statistics -- Periodicals
519.505 - Journal URLs:
- http://www.tandfonline.com/toc/gsta20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331888.2021.1873994 ↗
- Languages:
- English
- ISSNs:
- 0233-1888
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8453.505000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22354.xml