A computer-intensive method for error estimate based on "synchronous" statistical resampling of overlapping blocks of data is proposed in the context of Monte Carlo renormalization group calculations. It appears stable and well behaved even for relatively small data sets, enabling one to avoid the problems of ordinary procedures based on subseries values.
Statistical resampling for accuracy estimate in Monte Carlo renormalization group
MATTEI, GIOVANNI;
1997
Abstract
A computer-intensive method for error estimate based on "synchronous" statistical resampling of overlapping blocks of data is proposed in the context of Monte Carlo renormalization group calculations. It appears stable and well behaved even for relatively small data sets, enabling one to avoid the problems of ordinary procedures based on subseries values.File in questo prodotto:
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