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The statistical effects of incomplete sampling of coherent data series

✍ Scribed by Parker, D. E.

Publisher
Wiley (John Wiley & Sons)
Year
1984
Weight
305 KB
Volume
4
Category
Article
ISSN
2314-6214

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✦ Synopsis

An expression is derived for the equivalent number of independent values obtained by partial sampling of a coherent, i.e. autocorrelated, time-series or spatial series of data. The expression is a function of both the coherence of the data values and the coherence of the sampling, i.e. the non-randomness of the distribution of available data. For a data series with high autocorrelation the distribution of the sampling in time or space is more important than for a relatively incoherent data series. Meteorological data are used as illustrative examples. The derived expression can be used in estimating the variance of sample means.

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