Distribution functions for statistics derived from bivariate normal and bivariate two-parameter log-normal populations
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)
Citation Information
Publication Year | 1976 |
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Title | Distribution functions for statistics derived from bivariate normal and bivariate two-parameter log-normal populations |
DOI | 10.3133/ofr76214 |
Authors | James Richard Slack, Nicholas C. Matalas, James R. Wallis |
Publication Type | Report |
Publication Subtype | USGS Numbered Series |
Series Title | Open-File Report |
Series Number | 76-214 |
Index ID | ofr76214 |
Record Source | USGS Publications Warehouse |