The second edition defines 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.
Preface
About the Authors
List of Abbreviations
Chapter 1 Basic Notions of Statistics
Chapter 2 Quality of Analytical Results
Chapter 3 Internal Quality Control
Chapter 4 Traceability
Chapter 5 Uncertainty
Chapter 6 Reference Materials
Chapter 7 Interlaboratory Comparisons
Chapter 8 Method Validation
Chapter 9 Method Equivalence
Appendix
Index
This book defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. New chapters cover internal quality control and equivalence method, changes in the regulatory environment, and many new examples have been added to the second edition.
Quality Assurance and Quality Control in the Analytical Chemical Laboratory:&l37
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