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Using a stopping rule to determine the size of the training sample in a classification problem

Author

Listed:
  • Kundu, Subrata
  • Martinsek, Adam T.

Abstract

The problem of determining the size of the training sample needed to achieve sufficiently small misclassification probability is considered. The appropriate sample size is approximated using a stopping rule. The proposed procedure is asymptotically optimal.

Suggested Citation

  • Kundu, Subrata & Martinsek, Adam T., 1998. "Using a stopping rule to determine the size of the training sample in a classification problem," Statistics & Probability Letters, Elsevier, vol. 37(1), pages 19-27, January.
    • Handle: RePEc:eee:stapro:v:37:y:1998:i:1:p:19-27
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