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Titlebook: Im Team entwickeln und konstruieren; Der sichere Weg zum Klaus-Jürgen Peschges Textbook 20151st edition Springer Fachmedien Wiesbaden 2015

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Klaus-Jürgen Peschgest statistical processing. Here, method validation is presented, and, while it requires a lot of statistics, it is a field where chemometrics have been successfully applied. A very interesting approach for method validation and laboratory evaluation is interlaboratory study. But, the classical theore
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Klaus-Jürgen Peschgesng it into information are aims of both chemometrics and laboratory information management systems (LIMS). A discussion of scientific data and its conversion into information precedes a new approach to laboratory automation. This is necessary to see how chemometrics and LIMS can be merged effectivel
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Klaus-Jürgen Peschgeshes for environmental research has the potential to increase the amount of information and the reliability of results, at a cost comparable to, or lower than, traditional approaches. We demonstrate how researchers can attain these benefits by adhering to a systematic program of design and execution
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able to make accurate predictions (the position of a planet in two weeks’ time) is—in some sense—a “correct” description of reality. In many applications in the natural sciences, unfortunately, validation is hard to do: chemical and biological processes often exhibit quite significant variation unr
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Klaus-Jürgen Peschges rest of the data. The classical Mahalanobis distance (MD) and its variants (e.g., multivariate kurtosis) are routinely used to identify these anomalies. These test statistics depend upon the estimates of population location and scale. The presence of anomalous observations usually results in distor
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