About This Item
- Full TextFull Text(subscription required)
- Pay-Per-View PurchasePay-Per-View
Purchase Options Explain
Share This Item
The AAPG/Datapages Combined Publications Database
Journal of Sedimentary Research (SEPM)
Abstract
Comparison of the Descriptors of Sediment Grain-size Distributions
Thomas A. Jones (2)
ABSTRACT
Weight-frequency data are routinely analyzed either by moment computations or by graphical (percentile) techniques. However, both methods have serious drawbacks. The moment measures are biased, and may have errors induced by grouping or by truncation of part of the sample (pan fraction). The graphical measures may have errors because of interpolation of percentiles. More serious is that the graphical statistics are highly interrelated, so varying amounts of skewness and kurtosis will affect the estimates of all parameters.
Because both the moment and graphical methods have defects, an alternative estimation technique is desirable. Fitting a cumulative Edgeworth distribution to the observed cumulative data provides estimates which do not have the above undesirable properties. A brief replication study shows that the variance of the Edgeworth estimates is generally less than that of the graphical and sample moment estimates.
Pay-Per-View Purchase Options
The article is available through a document delivery service. Explain these Purchase Options.
Watermarked PDF Document: $14 | |
Open PDF Document: $24 |