Meier / Zünd Statistical Methods in Analytical Chemistry

2. Auflage 2005
ISBN: 978-0-471-72611-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 153, 456 Seiten, E-Book

Reihe: Chemical Analysis: A Series of Monographs on Analytical Chemistry and Its Applications

This new edition of a successful, bestselling book continues toprovide you with practical information on the use of statisticalmethods for solving real-world problems in complex industrialenvironments. Complete with examples from the chemical andpharmaceutical laboratory and manufacturing areas, this thoroughlyupdated book clearly demonstrates how to obtain reliable results bychoosing the most appropriate experimental design and dataevaluation methods.
Unlike other books on the subject, Statistical Methods inAnalytical Chemistry, Second Edition presents and solves problemsin the context of a comprehensive decision-making process under GMPrules: Would you recommend the destruction of a $100,000 batch ofproduct if one of four repeat determinations barely fails thespecification limit? How would you prevent this from happening inthe first place? Are you sure the calculator you are using istelling the truth? To help you control these situations, the newedition:
* Covers univariate, bivariate, and multivariate data
* Features case studies from the pharmaceutical and chemicalindustries demonstrating typical problems analysts encounter andthe techniques used to solve them
* Offers information on ancillary techniques, including a shortintroduction to optimization, exploratory data analysis, smoothingand computer simulation, and recapitulation of errorpropagation
* Boasts numerous Excel files and compiled Visual Basic programs-nostatistical table lookups required!
* Uses Monte Carlo simulation to illustrate the variabilityinherent in statistically indistinguishable data sets
Statistical Methods in Analytical Chemistry, Second Edition is anexcellent, one-of-a-kind resource for laboratory scientists andengineers and project managers who need to assess data reliability;QC staff, regulators, and customers who want to frame realisticrequirements and specifications; as well as educators looking forreal-life experiments and advanced students in chemistry andpharmaceutical science.
From the reviews of Statistical Methods in Analytical Chemistry,First Edition:
"This book is extremely valuable. The authors supply many veryuseful programs along with their source code. Thus, the user cancheck the authenticity of the result and gain a greaterunderstanding of the algorithm from the code. It should be on thebookshelf of every analytical chemist."-Applied Spectroscopy
"The authors have compiled an interesting collection of data toillustrate the application of statistical methods . . . includingcalibrating, setting detection limits, analyzing ANOVA data,analyzing stability data, and determining the influence of errorpropagation."-Clinical Chemistry
"The examples are taken from a chemical/pharmaceutical environment,but serve as convenient vehicles for the discussion of when to usewhich test, and how to make sense out of the results. Whilepractical use of statistics is the major concern, it is put intoperspective, and the reader is urged to use plausibilitychecks."-Journal of Chemical Education
"The discussion of univariate statistical tests is one of the morethorough I have seen in this type of book . . . The treatment oflinear regression is also thorough, and a complete set of equationsfor uncertainty in the results is presented . . . The bibliographyis extensive and will serve as a valuable resource for thoseseeking more information on virtually any topic covered in thebook."-Journal of American Chemical Society
"This book treats the application of statistics to analyticalchemistry in a very practical manner. [It] integrates PC computingpower, testing programs, and analytical know-how in the context ofgood manufacturing practice/good laboratory practice (GMP/GLP) . ..The book is of value in many fields of analytical chemistry andshould be available in all relevant libraries."-Chemometrics andIntelligent Laboratory Systems

Autoren/Hrsg.

Meier, Peter C.

Zünd, Richard E.

Inhaltsverzeichnis

Univariate Data.
Bi- and Multivariate Data.
Related Topics.
Complex Examples.
Appendices.
Technical Tidbits.
Glossary.
References.
Index.

Über Autor(innen)

PETER C. MEIER, PhD, currently serves as Director for the CilagA.G., a member of the Johnson & Johnson Company, and as afaculty member for the Swiss Federal Institute of Technology inZürich (ETH-Z). The author/coauthor of 27 publications, Dr.Meier has held managerial positions in both Quality Assurance andpharmaceutical R&D, sat on the board of the former SwissSociety for Instrumental Analysis, and for many years was a memberof Analytica Chimica Acta's Advisory Board.
RICHARD E. ZÜND, PhD, has been with Teranol A.G., a member ofthe Roche Group, since 1995 and is currently responsible forTeranol'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 Teamfor the Vitamins and Fine Chemicals Sector. He previously headedthe QA-IPC section and was strongly involved in ISO 9001 and LIMSprojects, among other functions.