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内容説明 This handbook attempts to select or define robust procedures that ensure the best use of resources and enable laboratories to generate consistent， reliable data. Written in concise， easy-to-read language and illustrated with worked examples， it is a guide to current best practice and establishes a control framework for the development and validation of laboratory-based analytical methods. Topics include samples and sampling， method selection， equipment calibration and qualification， method development and validation， evaluation of data and statistical approaches for method performance and comparison.