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- W1968324763 abstract "Abstract Application of the empirical distribution function (EDF) statistics to describe the spatial variability of soil properties is discussed. The Kolmogorov statistic ( D ) and the Cramer‐von Mises statistics ( W 2 ) were utilized to statistically evaluate the goodness‐of‐fit of a hypothesized theoretical distribution function to a sample of measurements of spatially‐varying soil properties. Because normal and log‐normal distributions have been commonly used to describe the variability of several soil properties, a Monte Carlo study was performed to determine the sample size required for selecting, with a prescribed level of confidence, between these two distributions. It was found that the required sample size increased with decreasing coefficient of variation (CV = standard deviation/mean). However, both normal and log‐normal distributions may adequately describe a set of measurements with CV ⩽ 0.4. In such cases, it was shown that accepting normal distribution as the appropriate distribution when the true distribution is, in fact, log‐normal, would involve a maximum error of about 20% when the mean is used instead of the mode." @default.
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- W1968324763 date "1979-03-01" @default.
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- W1968324763 title "Use of Goodness‐of‐fit Tests for Characterizing the Spatial Variability of Soil Properties" @default.
- W1968324763 doi "https://doi.org/10.2136/sssaj1979.03615995004300020005x" @default.
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