Titlebook: Chemometrics in Environmental Chemistry - Applications; Jürgen Einax Book 1995 Springer-Verlag Berlin Heidelberg 1995 Data Sampling.Datena

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Forschungsplanung und Forschungsprozessrue value of the sample, the bias of the laboratory (systematic error) and the experimental error (random error). From this model, two criteria are developed in order to estimate the precision of the method: the repeatability and the reproducibility, respectively noted . and . In addition the princi

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https://doi.org/10.1007/978-3-531-19430-1of the entity-relationship model, data can be modelled before being stored in a database. This modelling confers a fairly flexible structuring capability for data retrieval and validation. The basic theory of entity-relationship modelling is presented and illustrated for two typical environmental st

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Qualitative Markt- und Konsumforschungat any function of a LIMS can be classified in one of these four areas. Of specific interest to chemometricians is the data analysis area of the LIMS model; here standard chemometric tools can be used such as PCA, PCR etc. to reduce data to information. The LIMS will aid the process by ordering the

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Chemometrics in Environmental Chemistry - Applications

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Empirical Pattern Recognition/Expert System Approach for Classification and Identification of Toxicl class, a molecular weight estimate and a lower limit to the molecular weight for a given spectrum. This system has been extensively tested with 630 reference spectra from two databases and with 37 GC/MS field spectra. Classification and identification accuracies were 95–97%. Median absolute deviat

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