Quality Assurance and Control in the Analytical Chemical Laboratory: A Practical Approach

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Bol The third edition of Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. The third edition of Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. Clearly written and logically organized, this well-loved volume 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. The new edition contains fully updated references throughout and includes new information on CRMs and PTs. A new chapter covers calibration and contains numerous new examples, and the subject of accreditation is expanded. Fully updated and revised references New computational examples and solution problems New chapter on Calibration and expanded coverage of Accreditation A practical approach applicable to any field of analysis

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The third edition of Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. The third edition of Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. Clearly written and logically organized, this well-loved volume 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. The new edition contains fully updated references throughout and includes new information on CRMs and PTs. A new chapter covers calibration and contains numerous new examples, and the subject of accreditation is expanded. Fully updated and revised references New computational examples and solution problems New chapter on Calibration and expanded coverage of Accreditation A practical approach applicable to any field of analysis


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