On the unconditional strong law of large numbers for the bootstrap mean
The authors investigate the strong consistency for the mean of a bootstrap sample. Smaller resampling sizes are required if additional higher moments exist. This is illustrated by two examples and the proofs are simplified by the use of the Bernstein inequality. Finally an extension is given to non-identically distributed sequences.
scientific article; zbMATH DE number 896057