Distribution functions for statistics derived from bivariate normal and bivariate two-parameter log-normal populations
Open-File Report
76-214
By: James Richard Slack, Nicholas C. Matalas, and James R. Wallis
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Abstract
The distribution functions for hydrologic statistics that may be used to assess the significance of differences between sample means, standard deviations, coefficients of skewness, and coefficients of variations are obtained by Monte Carlo experiments. The distributions are expressed as functions of sample size, cross correlation, and skewness. In general, the distributions are more sensitive to cross correlation than to skewness. As sample size increases, however, the distributions tend to become more sensitive to skewness. (Woodard-USGS)
Suggested Citation
Slack, J.R., Matalas, N.C., and Wallis, J.R., 1976, Distribution functions for statistics derived from bivariate normal and bivariate two-parameter log-normal populations: U.S. Geological Survey Open-File Report 76-214, 22 leaves :ill. ;28 cm., https://doi.org/10.3133/ofr76214.
ISSN: 2331-1258 (online)
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Distribution functions for statistics derived from bivariate normal and bivariate two-parameter log-normal populations |
| Series title | Open-File Report |
| Series number | 76-214 |
| DOI | 10.3133/ofr76214 |
| Year Published | 1976 |
| Language | ENGLISH |
| Publisher | U.S. Geological Survey, |
| Description | 22 leaves :ill. ;28 cm. |