Delete-m Jackknife for Unequal m

  title={Delete-m Jackknife for Unequal m},
  author={Frank M. T. A. Busing and Erik Meijer and Rien Van Der Leeden},
  journal={Statistics and Computing},
In this paper, the delete-mj jackknife estimator is proposed. This estimator is based on samples obtained from the original sample by successively removing mutually exclusive groups of unequal size. In a Monte Carlo simulation study, a hierarchical linear model was used to evaluate the role of nonnormal residuals and sample size on bias and eciency of this estimator. It is shown that bias is reduced in exchange for a minor reduction in eciency. The accompanying jackknife variance estimator… CONTINUE READING
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