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Estimation of Error Rates by Means of Simulated Bootstrap Distributions

✍ Scribed by K.-D. Wernecke; G. Kalb

Publisher
John Wiley and Sons
Year
1987
Tongue
English
Weight
318 KB
Volume
29
Category
Article
ISSN
0323-3847

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✦ Synopsis

The bootstrap error estimation method is investigated in comparison with the known n-method and with a combined error estimation suggested by us using simulated and normally distributed "populations" in 15 and 30 characters, respectively. For small sample sim (below the double to threefold number of characters per class) the estimates resulting from the bootstrap method are on the average too small and can no longer be. accepted. Significantly better results (with an essentially lower calculation expenditure) are obtained for the n-method and the combined estimation. The variability is essentially the same for all the t h p e methods. This applies both in the 0888 of rather badly mparated and in the caw of very well separated populations.

A bootatrap estimation modified by us also gives unsatisfactory resulte.

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