Abstract
The essential problem in representative sampling is a comparison of analytical and sampling errors. Application of analysis of variance (ANOVA) to this problem seems less appropriate than regression analysis based on Wilsons formula, because in the first approach the total analytical error is commonly underestimated. Furthermore, regression analysis allows derivation of confidence intervals for representative sample weights. In this context a parametric and a non-parametric procedure are described.
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