Abstract
The so-called jaekknife method has been introduced by Quenouille to reduce a bias in estimation and then progressively extended to obtain an estimate of variances. It is interesting in that it yields an improved estimator and enables the estimator to be assessed in an inexpensive way, that is with regard to the methodology although the computation, if required, is not necessarily inexpensive. By all standards the results thus obtained are impressive in most cases; but in a few, not very well defined, circumstances the results are either poor or ridiculous.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1983 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Rey, W.J.J. (1983). The jackknife method. In: Introduction to Robust and Quasi-Robust Statistical Methods. Universitext. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69389-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-69389-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-12866-3
Online ISBN: 978-3-642-69389-2
eBook Packages: Springer Book Archive