Scholion.ai

Jackknifing Differentiable Statistical Functionals

William C. Parr

Journal of the Royal Statistical Society: Series B (Statistical Methodology) · 1985 · Volume 47 · Issue 1

DOI: 10.1111/j.2517-6161.1985.tb01330.x

Abstract

The purpose of this paper is to give a general unified view of “how smooth” a statistic needs to be for the jackknife to work. We give general sufficient conditions for the jackknife to produce consistent bias and variance estimators, and for linear combinations of the pseudovalues to be asymptotically normal. Regularity conditions are stated in terms of the existence of strong Fréchet differentials of the functional version of the statistic being jackknifed.

Keywords

jackknife, strong fréchet differential, pseudovalues, linear combinations of functions of order statistics

Enable JavaScript for citation tools and additional paper interactions.