Inference for L-estimators of location using a bootstrap warping approach. Issue 7 (12th August 2021)
- Record Type:
- Journal Article
- Title:
- Inference for L-estimators of location using a bootstrap warping approach. Issue 7 (12th August 2021)
- Main Title:
- Inference for L-estimators of location using a bootstrap warping approach
- Authors:
- Hutson, Alan D.
- Abstract:
- Abstract: In this note we propose a new semi-parametric bootstrap procedure for hypothesis tests about a statistical function and termed bootstrap warping. This procedure was motivated by empirical likelihood and bootstrap tilting techniques. The procedure is computationally efficient and has a fixed number of parameters. We show that the warping procedure has good type I error control and has monotone power as a function of sample size and shift alternatives.
- Is Part Of:
- Communications in statistics. Volume 50:Issue 7(2021)
- Journal:
- Communications in statistics
- Issue:
- Volume 50:Issue 7(2021)
- Issue Display:
- Volume 50, Issue 7 (2021)
- Year:
- 2021
- Volume:
- 50
- Issue:
- 7
- Issue Sort Value:
- 2021-0050-0007-0000
- Page Start:
- 2145
- Page End:
- 2150
- Publication Date:
- 2021-08-12
- Subjects:
- L-estimators -- L-moments -- LQ-moments -- Order statistics
Mathematical statistics -- Periodicals
Mathematical statistics -- Data processing -- Periodicals
Digital computer simulation -- Periodicals
519.5 - Journal URLs:
- http://www.tandfonline.com/toc/lssp20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/03610918.2019.1597118 ↗
- Languages:
- English
- ISSNs:
- 0361-0918
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.431000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25857.xml