This third edition gives a clear and lucid account of the underlying principles of statistical methods. It reflects the enormous impact of microelectronics for the rapid calculation of chemometric procedures such as pattern recognition, optimization and numerical techniques. Significant changes and updates to most chapters of the previous edition have been made, particularly in curvilinear regression methods, robust statistical methods, multivariate methods, outliers in univariate statistics and calibration methods, initial data analysis, and experimental design and optimization. Fully revised bibliographies are included at the end of each chapter, together with exercises and solutions. Readership: Researchers and laboratory workers, including professional scientists in all areas of analytical chemistry. Undergraduate and postgraduate students of analytical chemistry, and their teachers.
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This second edition of "Statistics for Analytical Chemistry" shows some of the important new advances which have taken place recently, and an entirely new chapter has been introduced to give extended coverage of sampling and of control charts. There is additional material provided on type I and type II errors, the sequential use of significance tests, non-parametric methods, and on non-linear calibration plots. The authors have expanded their discussion of pattern recognition and factorial design with the addition of detailed solutions to some of the problems provided. The authors have deliberately not confused the issue with detailed theoretical background to the statistical tests described, and have concentrated on presenting tests appropriate to the problems likely to be encountered in the laboratory. There are many worked examples and exercises at the end of each chapter to test the reader's grasp.
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