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.
Contents: J. Einax: Introduction; T.E. Barnard: Environmental Sampling; R.G. Brereton: Topics of Chemometrics Today; R.A. Olivero, J.M. Nocerino, S.N. Deming: Experimental Design and Optimization; H.C. Smit: Signal Processing and Correlation Techniques; Y. Hayashi, R. Matsuda: Information Theory of Signal Resolution - Precision of Measurements; Y. Mallet, D.H. Coomans, O.Y. de Vel: Robust and Non-parametric Methods in Multiple Regressions of Environmental Data; K.S. Booksh, Z. Wang: Extension and Application of Univariate Figures of Merit to Multivariate Calibration; A. Singh, J.M. Nocerino: Robust Procedures of the Identification of Multiple Outliers; D.H. Coomans, O.Y. de Vel: Pattern Analysis and Classification.
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