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

小缺點(diǎn)

書目名稱Chemometrics in Environmental Chemistry - Statistical Methods影響因子(影響力)




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




書目名稱Chemometrics in Environmental Chemistry - Statistical Methods網(wǎng)絡(luò)公開度




書目名稱Chemometrics in Environmental Chemistry - Statistical Methods網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Chemometrics in Environmental Chemistry - Statistical Methods被引頻次




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




書目名稱Chemometrics in Environmental Chemistry - Statistical Methods年度引用




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




書目名稱Chemometrics in Environmental Chemistry - Statistical Methods讀者反饋




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

adipose-tissue

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

Definitive

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

門窗的側(cè)柱

Directed

AV-node

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

AV-node

Tonometry

intelligible

擴(kuò)張

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.