© 1987 by Biometrika Trust
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Jackknifing fixed points of iterations
Department of Mathematics, University of Waikato Hamilton, New Zealand
The jackknife method for estimating the dispersion of a statistic T, considered as an estimator of a p-dimensional vector of parameters, can be modified so as to become computationally feasible for the class of statistics that are obtained as limits of iterative processes. Examples are given to show how the method can be applied to the EM algorithm and to iteratively reweighted leastsquares.
Key Words: EM algorithm Infinitesimal jackknife Iterative process Iteratively reweighted least-squares Jackknife Robust regression Variance-covariance matrix
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