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Research Report SRR95-003
On the jackknife variance estimators
Yoshihiko Maesono
Abstract:
In this note we discuss jackknife estimators of the variance and their
corrections.
Shao-Wu (1989) have studied a jackknife variance estimator which is based on
a delete-d original estimator. And they have proved the
consistency of the
delete-d jackknife variance estimator even if the original
estimator is not
smooth. Their results are especially useful for the jackknife estimation of
the variance of the sample quantile. Whereas in the case of smooth original
estimators, which include U-statistics and V-statistics,
the delete-d
jackknife variance estimator is numerically larger than the delete-1 jackknife
estimator which is the traditional jackknife estimator. Then the
delete-d
jackknife variance estimator has larger bias than the delete-1.
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