Kesar Singh’s contributions to statistical methodology

A selection of Professor Kesar Singh’s contributions to statistical theory is discussed. The topics reviewed include: Bootstrap methodology, LL-estimators, robust estimation, Edgeworth expansions, Data Depth and his ‘final’ contribution which appeared after he left us.