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Jackknifing Fixed Points of Iterations
Murray A. Jorgensen
Vol. 74, No. 1 (Mar., 1987), pp. 207-211
Stable URL: http://www.jstor.org/stable/2336037
Page Count: 5
You can always find the topics here!Topics: Statistical estimation, Statistics, Distribution functions, Point estimators, Statistical dispersion, Jacobians, Matrices, Jackknife resampling, Statistical variance, Linear regression
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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 least-squares.
Biometrika © 1987 Biometrika Trust