Survival function estimation with non parametric adaptive refined descriptive sampling algorithm: A case study. Issue 12 (18th June 2017)
- Record Type:
- Journal Article
- Title:
- Survival function estimation with non parametric adaptive refined descriptive sampling algorithm: A case study. Issue 12 (18th June 2017)
- Main Title:
- Survival function estimation with non parametric adaptive refined descriptive sampling algorithm: A case study
- Authors:
- Ourbih-Tari, Megdouda
Azzal, Mahdia - Abstract:
- ABSTRACT: This paper proposes non parametric adaptive refined descriptive sampling algorithm (NARDS) to estimate the survival function in lifetime models using Kaplan–Meier and Fleming–Harrington estimators. Simulations were performed using real data to generate inputs. The obtained results prove that NARDS works well on non parametric data.
- Is Part Of:
- Communications in statistics. Volume 46:Issue 12(2017)
- Journal:
- Communications in statistics
- Issue:
- Volume 46:Issue 12(2017)
- Issue Display:
- Volume 46, Issue 12 (2017)
- Year:
- 2017
- Volume:
- 46
- Issue:
- 12
- Issue Sort Value:
- 2017-0046-0012-0000
- Page Start:
- 5840
- Page End:
- 5850
- Publication Date:
- 2017-06-18
- Subjects:
- Case study -- Monte Carlo simulation -- non parametric estimation -- sampling.
90B22 -- 68U20 -- 65C05 -- 65C10
Mathematical statistics -- Periodicals
Mathematics
Statistics
519.2 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03610926.2015.1065328 ↗
- 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:
- 2781.xml