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The AAPG/Datapages Combined Publications Database
Journal of Sedimentary Research (SEPM)
Abstract
Sampling Surficial Fluvial Gravels: The Precision of Size Distribution Percentile Estimates
Stephen Rice (*), Michael Church
ABSTRACT
standard
errors. Bootstrapping is used in this paper to determine percentile standard
errors for large samples from two gravel bar surfaces. The improvement
of percentile precision with sample size follows the theoretical expectation,
hence improvement in percentile recision is achieved only at the expense
of much greater sampling effort once sample sizes reach about 400 stones.
However, absolute percentile standard
errors differ significantly from
theoretically derived values. Of particular interest is the stability of
coarser percentile estimates in coarse-skewed distributions; D95
estimates may be as precise as D50 estimates for a given
sample size. The sensitivity of the precision of estimated percentiles
to distribution shape is examined using synthetic skewed and bimodal grain
size distributions. The absolute precision of percentile estimates is shown
to vary with the grain size distribution of a particular sediment. Our
field results provide a reference for further work.
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