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Titlebook: Chemometrics in Environmental Chemistry - Statistical Methods; Jürgen Einax Book 1995 Springer-Verlag Berlin Heidelberg 1995 Data Sampling

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书目名称Chemometrics in Environmental Chemistry - Statistical Methods
编辑Jürgen Einax
视频videohttp://file.papertrans.cn/225/224925/224925.mp4
丛书名称The Handbook of Environmental Chemistry
图书封面Titlebook: Chemometrics in Environmental Chemistry - Statistical Methods;  Jürgen Einax Book 1995 Springer-Verlag Berlin Heidelberg 1995 Data Sampling
描述Pattern recognition and other chemometrical techniques are important tools in interpreting environmental data. This volume presents authoritatively state-of-the-art procedures for measuring and handling environmental data. The chapters are written by leading experts..
出版日期Book 1995
关键词Data Sampling; Datenauswertung; Environment; Protection of the Environment; Umwelt; Umweltbelastung; Umwel
版次1
doihttps://doi.org/10.1007/978-3-540-49148-4
isbn_softcover978-3-662-14885-3
isbn_ebook978-3-540-49148-4Series ISSN 1867-979X Series E-ISSN 1616-864X
issn_series 1867-979X
copyrightSpringer-Verlag Berlin Heidelberg 1995
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Robust Procedures for the Identification of Multiple Outliers, 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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https://doi.org/10.1007/978-3-531-19963-4l arrangements (designs) to address all phases of a research program, from identifying important effects, to modeling the behavior of the experimental system of interest, to optimizing the operating conditions (e.g., minimizing waste or maximizing reproducibility). The most useful standard design ar
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1867-979X atively state-of-the-art procedures for measuring and handling environmental data. The chapters are written by leading experts..978-3-662-14885-3978-3-540-49148-4Series ISSN 1867-979X Series E-ISSN 1616-864X
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Environmental Sampling,bjectives. The plan presents a framework for developing clear study objectives and collection of data that will lead to resolution of the objectives. Examples are presented in surface water, shallow soil, deep soil, and groundwater.
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