River Pollution Data Interpreted by Mean
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JΓΌrgen W. Einax; Dirk Truckenbrodt; Olaf Kampe
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Article
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1998
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Elsevier Science
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English
β 133 KB
Environmental data, including river pollution data, are characterized by high variability. Much information is lost by using only univariate graphical or statistical methods for data evaluation and interpretation. Chemometric methods, in particular methods of multivariate data analysis, help to extr