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

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書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods影響因子(影響力)




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods被引頻次




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods被引頻次學(xué)科排名




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods年度引用




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods年度引用學(xué)科排名




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods讀者反饋




書(shū)目名稱(chēng)Chemometrics in Environmental Chemistry - Statistical Methods讀者反饋學(xué)科排名

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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.