JOURNAL ARTICLE

Distribution functions for statistics derived from bivariate normal and bivariate two-parameter log-normal populations

James Richard SlackNicholas C. MatalasJames R. Wallis

Year: 1976 Journal:   Antarctica A Keystone in a Changing World   Publisher: United States Department of the Interior

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)

Keywords:
Skewness Bivariate analysis Statistics Standard deviation Mathematics Monte Carlo method Normal distribution Sample (material) Sample size determination Multivariate normal distribution Skew normal distribution Correlation Distribution (mathematics) Bivariate data Statistical parameter Statistical physics Econometrics Multivariate statistics Physics Mathematical analysis

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Topics

Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change
Soil Geostatistics and Mapping
Physical Sciences →  Environmental Science →  Environmental Engineering
Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability

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