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

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發(fā)表于 2025-3-21 19:27:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Chemometrics in Environmental Chemistry - Applications
編輯Jürgen Einax
視頻videohttp://file.papertrans.cn/225/224924/224924.mp4
叢書名稱The Handbook of Environmental Chemistry
圖書封面Titlebook: Chemometrics in Environmental Chemistry - Applications;  Jürgen Einax Book 1995 Springer-Verlag Berlin Heidelberg 1995 Data Sampling.Datena
描述Pattern recognition and other chemometrical techniques are important tools in interpreting environmental data. This volume presents authoritatively state-of-the-art applications of measuring and handling environmental data. The chapters are written by leading experts..
出版日期Book 1995
關(guān)鍵詞Data Sampling; Datenauswertung; Umwelt; Umweltbelastung; Umweltschutz; chemistry; chemometrics; environment
版次1
doihttps://doi.org/10.1007/978-3-540-49150-7
isbn_softcover978-3-662-14883-9
isbn_ebook978-3-540-49150-7Series ISSN 1867-979X Series E-ISSN 1616-864X
issn_series 1867-979X
copyrightSpringer-Verlag Berlin Heidelberg 1995
The information of publication is updating

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Empirical Pattern Recognition/Expert System Approach for Classification and Identification of Toxicother organic compounds from their low resolution mass spectra is described in this article. This chemometric approach can supplement manual or computer-aided techniques for identifying organic pollutants, including library searches. The system was designed for spectra of low concentration pollutant
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Analytical Profiling and Latent-Variable Analysis of Multivariate Data in Petroleum Geochemistry,ortant techniques for the analysis of multivariate geochemical data are briefly discussed. Principal component, partial-least-squares regression, marker and target projections are defined within the same formal scheme of latent-variable projections. Applications of these techniques to find solutions
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發(fā)表于 2025-3-22 11:19:32 | 只看該作者
A Multivariate Approach to Quantitative Structure-Activity and Structure-Property Relationships,lined. In essence, the strategy is based upon grouping chemicals into homogeneous classes, and identifying small numbers of training set and validation set compounds that adequately represent each class. Biological and environmental response data generated for such sets of representative compounds m
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發(fā)表于 2025-3-22 15:51:55 | 只看該作者
Method Validation and Laboratory Evaluation,t 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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發(fā)表于 2025-3-22 17:49:38 | 只看該作者
Data Management in Relation to Statistical Processing and Quality Control,” occurring randomly but they can also be world-wide concerted action, aiming to monitor pollution and involving several laboratories. The author describes the scientific background to these environmental studies in order to explain the concepts that can be used to implement consistent databases whi
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The Management of Laboratory Information,ng 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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Automated Techniques for the Monitoring of Water Quality,operating principles of various types of instrumentation followed by a consideration of their integration into process control. The monitoring of river water quality is also considered from the wider point of view of analyses that give information on water quality rather than simply process control
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發(fā)表于 2025-3-23 06:37:11 | 只看該作者
https://doi.org/10.1007/978-3-531-19169-0 to important geochemical problems or to gain insight into geochemical processes in certain systems of petroleum geochemistry are then discussed in detail. These applications show that latent-variable analysis represents an efficient and important tool in petroleum geochemical problem solving.
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