Statistical Methods in Analytical Chemistry / Edition 2

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Overview

This new edition of a successful, best-selling 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, StatisticalMethods in Analytical Chemistry, Second Edition presents and solvesproblems in the context of a comprehensive decision-making processunder GMP rules: Would you recommend the destruction of a $100,000batch of product if one of four repeat determinations barely failsthe specification limit? How would you prevent this from happeningin the 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.

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Editorial Reviews

From the Publisher
“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)

SciTech Book
Substantially updated...this reference is intended for lab supervisors and project mangers, and is useful...for advanced students of chemistry and pharmaceutical science.
SciTech Book
Substantially updated...this reference is intended for lab supervisors and project mangers, and is useful...for advanced students of chemistry and pharmaceutical science.
Annali di Chimica
...a comprehensive, very useful and clear guide for all analytical chemists...
SciTech Book News
Substantially updated...for lab supervisors and project mangers, and is useful...for advanced students of chemistry and pharmaceutical science.
Booknews
Substantially updated since its first version published in the late 1980s, this reference is intended for lab supervisors and project managers, and is useful as well for advanced students of chemistry and pharmaceutical science. It focuses on the complete data evaluation cycle<-->question, plan, experiment, result, interpretation, and answer. Though the case studies involve quality control in the chemical and pharmaceutical industries, the general principles apply to chemical analysis in any industrial setting. Coverage includes univariate, bivariate, and multivariate data, and ancillary techniques<-->optimization, exploratory data analysis, smoothing and computer simulation, and recapitulation of error propagation. The authors are analytical chemists in the pharmaceutical industry. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

Meet the Author

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.

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Table of Contents

Univariate Data.

Bi- and Multivariate Data.

Related Topics.

Complex Examples.

Appendices.

Technical Tidbits.

Glossary.

References.

Index.

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