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Zusatztext "...a comprehensive! very useful and clear guide for all analytical chemists..." (Annali di Chimica! Vol 153! 2000)"Substantially updated...for lab supervisors and project mangers! and is useful...for advanced students of chemistry and pharmaceutical science." (SciTech Book News! Vol. 24! No. 2! June 2001) Informationen zum Autor PETER C. MEIER, PhD, currently serves as Director for the Cilag A.G., a member of the Johnson & Johnson Company, and as a faculty member for the Swiss Federal Institute of Technology in Zürich (ETH-Z). The author/coauthor of 27 publications, Dr. Meier has held managerial positions in both Quality Assurance and pharmaceutical R&D, sat on the board of the former Swiss Society for Instrumental Analysis, and for many years was a member of Analytica Chimica Acta's Advisory Board. RICHARD E. ZÜND, PhD, has been with Teranol A.G., a member of the Roche Group, since 1995 and is currently responsible for Teranol's IPC/QC/QA section, which covers, among other things, equipment, methods, statistics, audits, and specifications. Dr. Zünd is a member of Roche's Divisional QA and GMP Expert Team for the Vitamins and Fine Chemicals Sector. He previously headed the QA-IPC section and was strongly involved in ISO 9001 and LIMS projects, among other functions. Klappentext This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly demonstrates how to obtain reliable results by choosing the most appropriate experimental design and data evaluation methods.Unlike other books on the subject, Statistical Methods in Analytical Chemistry, Second Edition presents and solves problems in the context of a comprehensive decision-making process under GMP rules: Would you recommend the destruction of a $100,000 batch of product if one of four repeat determinations barely fails the specification limit? How would you prevent this from happening in the first place? Are you sure the calculator you are using is telling the truth? To help you control these situations, the new edition:* Covers univariate, bivariate, and multivariate data* Features case studies from the pharmaceutical and chemical industries demonstrating typical problems analysts encounter and the techniques used to solve them* Offers information on ancillary techniques, including a short introduction to optimization, exploratory data analysis, smoothing and computer simulation, and recapitulation of error propagation* Boasts numerous Excel files and compiled Visual Basic programs-no statistical table lookups required!* Uses Monte Carlo simulation to illustrate the variability inherent in statistically indistinguishable data setsStatistical Methods in Analytical Chemistry, Second Edition is an excellent, one-of-a-kind resource for laboratory scientists and engineers and project managers who need to assess data reliability; QC staff, regulators, and customers who want to frame realistic requirements and specifications; as well as educators looking for real-life experiments and advanced students in chemistry and pharmaceutical science.From the reviews of Statistical Methods in Analytical Chemistry, First Edition:"This book is extremely valuable. The authors supply many very useful programs along with their source code. Thus, the user can check the authenticity of the result and gain a greater understanding of the algorithm from the code. It should be on the bookshelf of every analytical chemist. "--Applied Spectroscopy"The authors have compiled an interesting collection of data to illustrate the application of statistical methods . . . including calibrating, setting detection limits, analyzing ANOVA data, analyzing stability dat...
Table des matières
Univariate Data.
Bi- and Multivariate Data.
Related Topics.
Complex Examples.
Appendices.
Technical Tidbits.
Glossary.
References.
Index.
Commentaire
"This new edition of a successful, bestselling book continues to provide you with practical information on the use
of statistical methods for solving real-world problems in complex industrial environments." (PDFCHM Online, 27 February 2013) "...a comprehensive, very useful and clear guide for all analytical chemists..." (Annali di Chimica, Vol 153, 2000)
"Substantially updated...for lab supervisors and project mangers, and is useful...for advanced students of chemistry and pharmaceutical science." (SciTech Book News, Vol. 24, No. 2, June 2001)
"Its clarity, focus and logical approach to statistical analysis of chemical data make it a book that should appear on the bookshelf of most analytical chemists." (Journal of the American Chemical Society, Vol. 123 No. 36)
