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On the asymptotic behaviour of the jackknife for stochastic processes
Published online by Cambridge University Press: 17 April 2009
Abstract
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The limiting behaviour of the J∞ jackknife estimator for parameters associated with stochastic processes is shown to depend on the nature of the underlying process through the asymptotic behaviour of the estimator being jackknifed. In particular, the jackknifed versions of certain estimators associated with renewal processes are shown to have an asymptotic normal distribution.
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- Research Article
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- Copyright © Australian Mathematical Society 1983
References
[2]Gray, H.L. and Schucany, W.R., The generalized jackknife statistic (Statistics Textbooks and Monographs, 1. Marcel Dekker, New York, 1972).Google Scholar
[3]Gray, H.L., Watkins, T.A. and Adams, J.E., “On the jackknife statistic, its extensions, and its relation to en-transformations”, Ann. Math. Statist. 43 (1972), 1–30.CrossRefGoogle Scholar
[4]Watkins, T.A., “Jackknifing stochastic processes” (PhD dissertation, Texas Technical University, Texas, 1971).Google Scholar
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