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Fundamental concepts of the bootstrap for statistical analysis of mechanical systems

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  • Statistical Series: Part 5
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Conclusions

The fundamental ideas upon which the bootstrap is based were developed in this paper. The bootstrap is an experimental statistical technique, capable of performing statistical analyses on data that are non-Gaussian and on measures of the data that are not Gaussian or Gaussian-related. A simple numerical example was used to demonstrate some elementary bootstrap operations, and an example that used experimentally obtained data demonstrated some elementary, yet practical, statistical analyses.

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Authors and Affiliations

  1. Experimental Structural Dynamics Department, Sandia National Laboratories, Albuquerque, New Mexico, USA

    T. L. Paez

  2. Engineering Science and Analysis Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    N. F. Hunter

Authors
  1. T. L. Paez
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  2. N. F. Hunter
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Paez, T.L., Hunter, N.F. Fundamental concepts of the bootstrap for statistical analysis of mechanical systems. Exp Tech 22, 35–38 (1998). https://doi.org/10.1111/j.1747-1567.1998.tb01284.x

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  • DOI: https://doi.org/10.1111/j.1747-1567.1998.tb01284.x

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