A comprehensive and easy-to-read introduction to sampling, both for scientists in academia and industry, helps to efficiently choose reliable and representative samples. A series of case studies show how the theories are applied in the laboratory. Following an introduction and a look at the theory of sampling, the book goes on to deal with representative mass reduction and a survey of existing techniques, equipment and procedures. Further sections discuss process sampling and the planning and optimization of sampling. Finally, a number of illustrative case studies from industry and the laboratory are included. The whole is rounded off by an extensive set of practical exercises. An invaluable aid for all those working in analytics, production control/process establishment, and quality control.
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