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Error analysis of correlated data according to the blocking method

FILES:

BlockAverage.py: compute error estimates from correlated data
generate_random.py: generate a correlated time series with specified mean and correlation length
test_blockingerr.py: parse the output from generate_random.py and analyze errors

REFERENCE:

H. Flyvbjerg and H. G. Petersen, J. Chem. Phys., vol. 91, p. 461, 1989.

AUTHOR: Jens Glaser, jsglaser@umich.edu