BOOK
Statistical Methods in Analytical Chemistry
Statistical Methods in Analytical Chemistry (2nd Edition) by Peter C. Meier and Richard E. Zünd is a comprehensive guide to the application of statistical techniques in modern analytical chemistry. Designed for chemists and laboratory professionals, the book provides practical and theoretical tools to improve the reliability, accuracy, and interpretability of experimental data in chemical analysis.
The book covers a wide range of topics, from basic descriptive statistics to advanced multivariate analysis. Core areas include hypothesis testing, confidence intervals, linear and nonlinear regression, analysis of variance (ANOVA), error propagation, and data smoothing. Special emphasis is placed on real-world applications in quality control, method validation, and laboratory data evaluation under Good Laboratory Practice (GLP) and Good Manufacturing Practice (GMP) guidelines.
New to the second edition are expanded discussions on Monte Carlo simulations, Excel and Visual Basic-based data analysis tools, and practical case studies. The authors integrate traditional statistical methods with chemometric techniques, making the book especially relevant for those working in complex, data-rich environments.
With its clear explanations, worked examples, and emphasis on practical implementation, this book serves as both a learning resource and a reference tool for students, researchers, and professionals in analytical, pharmaceutical, and environmental chemistry.
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