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Bootstrapping a Graduation

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Actuarial Science

Part of the book series: The University of Western Ontario Series in Philosophy of Science ((WONS,volume 39))

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Abstract

The bootstrap is one of several resampling methods that have been developed recently by statisticians. Bradley Efron (1982, pp. 2–3), who developed the bootstrap, notes that these methods “are prodigious computational spendthrifts.… An important theme…is the substitution of computational power for theoretical analysis. The payoff…is freedom from the constraints of traditional parametric theory, with its over-reliance on a small set of standard models for which theoretical solutions are available.…

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References

  • Bayo, F. R., and J. R. Faber (1983), “Mortality experience around age 100.”. Transactions of the Society of Actuaries 35, 37–59.

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  • Efron, B. (1982), The Jackknife, the Bootstrap, and Other Resampling Plans. Philadelphia: SIAM.

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  • Kimeldorf, G. S., and D. A. Jones (1967), “Bayesian graduation.”. Transactions of the Society of Actuaries 19, 66–112.

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  • Portnoy, Esther (1985), “Crossover in mortality rates by sex.”. Transactions of the Society of Actuaries 38, to appear.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA

    Esther Portnoy

Authors
  1. Esther Portnoy
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Editor information

Editors and Affiliations

  1. Department of Statistical and Actuarial Sciences, The University of Western Ontario, Canada

    Ian B. MacNeill , Gary J. Umphrey , Beda S. C. Chan  & Serge B. Provost , ,  & 

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© 1987 D. Reidel Publishing Company, Dordrecht, Holland

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Portnoy, E. (1987). Bootstrapping a Graduation. In: MacNeill, I.B., Umphrey, G.J., Chan, B.S.C., Provost, S.B. (eds) Actuarial Science. The University of Western Ontario Series in Philosophy of Science, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4796-2_3

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  • DOI: https://doi.org/10.1007/978-94-009-4796-2_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8627-1

  • Online ISBN: 978-94-009-4796-2

  • eBook Packages: Springer Book Archive

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