Quality assurance and quality control in the analytical chemical laboratory : a practical approach

Description

"The second editiondefines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. Clearly written and logically organized, it takes a generic approach applicable to any field of analysis. The authors begin with the theory behind quality control systems, then detail validation parameter measurements, the use of statistical tests, counting the margin of error, uncertainty estimation, traceability, reference materials, proficiency tests, and method validation. New chapters cover internal quality control and equivalence method, changes in the regulatory environment are reflected throughout, and many new examples have been added to the second edition."--Provided by publisher. Read more... Abstract: "The second editiondefines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. Clearly written and logically organized, it takes a generic approach applicable to any field of analysis. The authors begin with the theory behind quality control systems, then detail validation parameter measurements, the use of statistical tests, counting the margin of error, uncertainty estimation, traceability, reference materials, proficiency tests, and method validation. New chapters cover internal quality control and equivalence method, changes in the regulatory environment are reflected throughout, and many new examples have been added to the second edition."--Provided by publisher Content: PrefaceAbout the AuthorsList of AbbreviationsChapter 1 Basic Notions of StatisticsChapter 2 Quality of Analytical ResultsChapter 3 Internal Quality ControlChapter 4 TraceabilityChapter 5 UncertaintyChapter 6 Reference MaterialsChapter 7 Interlaboratory ComparisonsChapter 8 Method ValidationChapter 9 Method EquivalenceAppendixIndex