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Appendix B: Cross-Validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic Regression

  1. Phillip I. Good1,
  2. James W. Hardin2
  1. Gail Gong

Published Online: 8 AUG 2003

DOI: 10.1002/0471463760.app2

Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)

How to Cite

Good, P. I. and Hardin, J. W. (2003) Appendix B: Cross-Validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic Regression, in Common Errors in Statistics (and How to Avoid Them), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471463760.app2

Author Information

  1. 1

    Huntington Beach, CA, USA

  2. 2

    College Station, TX, USA

Author Information

  1. Gail Gong is Assistant Professor, Department of Statistics, Carnegie-Mellon University, Pittsburgh, PA 15217.

Publication History

  1. Published Online: 8 AUG 2003
  2. Published Print: 11 JUL 2003

ISBN Information

Print ISBN: 9780471460688

Online ISBN: 9780471463764

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Keywords:

  • prediction;
  • error rate estimation;
  • variables selection

Summary

This appendix features a re-printing of the article “Cross-Validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic Regression” by Gail Gong, in which the author resampled repeatedly from the data in hand and obtained a different set of significant variables each time.