Abstract
A selection of Professor Kesar Singh's contributions to statistical theory is discussed. The topics reviewed include: Bootstrap methodology, L-estimators, robust estimation, Edgeworth expansions, Data Depth and his 'final' contribution which appeared after he left us.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2-10 |
| Number of pages | 9 |
| Journal | Statistical Methodology |
| Volume | 20 |
| DOIs | |
| State | Published - Sep 2014 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
Fingerprint
Dive into the research topics of 'Kesar Singh's contributions to statistical methodology'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver