Adjusting variance for sample-size in tree-ring chronologies and other regional mean timeseries

This note explores the frequently encountered problem that a tuneseries formed as an average of a sample of individr4al timeseries has a variance that depends upon the size of the sample.Methods for adjusting the timeseries to reduce this uar2bnce bias are demonstrated -first a simple one and then extensions to it to allow for time-dependent and tirnescale-dependent effects.The discussion and techniques are applicable to the construction of tree-ring chronologies from an average of individual cores (or trees) and to the calculation of regional tree-growth timeseries by aueraging individual chronologies.

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