Progress in chemometrics research
著者
書誌事項
Progress in chemometrics research
Nova Science Publishers, c2005
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Chemometrics is the chemical discipline that uses mathematical, statistical and other methods employing formal logic: to design or select optimal measurement procedures and experiments, and -- to provide maximum relevant chemical information by analysing chemical data. Being conceived as a branch of analytical chemistry, chemometrics now is a general approach. It extracts relevant information out of measured data, regardless of their origin: chemical, physical, biological, etc. Chemometrics has been applied in different areas, and most successfully in multivariate calibration, pattern recognition, classification and discriminant analysis, multivariate modelling, and monitoring of processes. The main chemometric principle is a concept of hidden data structures that can be found using methods of multivariate data analysis. These are the well-known statistic tools such as partial least squares (PLS), soft independent modelling of class analogy (SIMCA), principal-component regression (PCR), wavelet analysis, and many others. Current activities of chemometricians fall into two main categories: (1) development of new methods for manipulating multivariate data and (2) new applications of the known chemometric techniques in different areas such as environment control, food industry, agriculture, medicine, and engineering.
目次
- Analysis of Simulated Fracture Surfaces Using Amt and Fractal Geometry Methods
- Informative Score-Loading Plots For Multi-Response Process Monitoring
- Wavelets in Compressing Spectral Data
- Application of Wavelet Neural Networks in Multivariate Data Analysis
- Principles of Simple Interval Calculations
- Global and Local Chemometric Models of Spectra-Structure Relationships
- Inverse Problem in Potentiodynamic Electrochemical Impedance
- Application of Pattern Recognition Methods in Analysis of Complex Hydrocarbon Mixtures For Improvement of Kinetic Data Quality
- Band and Point Statistical Estimation of Channel-Forming Polypeptides Potential
- Software For Interactive Curve Resolution Using Simplisma
- Modeling of Data Structure For Multivariate Calibration in Atomic Emission Spectrometry
- Chemometrics and System Analysis of Modern Problems in General Chemistry
- Characterisation of Biofuel Mixtures by Online Near Infrared Spectroscopy
- Multivariate Statistical Process Control and Optimisation
- Adaptation of Calibration Models While Transferring Within A Series of Ir-Spectrometers
- Specific Features of Practical Implementation of Calibration Model Transfer From A Master Instrument To Slave Nir Analyzers For Analysis of Main Characteristics of Wheat
- Sampling in Practice: A Tos Toolbox of Unit Operations
- Peculiarities of Rubber-Oil Interaction Under The Conditions of Cold Climate
- NIR-Spectroscopy: Chemometric Analysis of Benzine Fractions and Oils
- Ecology and Toxicology Monitoring Pesticides in Agrosystem: Structuring and Analysis
- Textural and Mineralogical Classification of Soils in National Park "Plescheevo Lake"
- Explanatory Data Analysis of Fish Culture in Siberian Lakes.
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