Pierre Gy's Sampling Theory and Sampling Practice, Second Edition: Heterogeneity, Sampling Correctness, and Statistical Process Control
Pierre Gy's Sampling Theory and Sampling Practice, Second Edition is a concise, step-by-step guide for process variability management and methods. Updated and expanded, this new edition provides a comprehensive study of heterogeneity, covering the basic principles of sampling theory and its various applications. It presents many practical examples to allow readers to select appropriate sampling protocols and assess the validity of sampling protocols from others. The variability of dynamic process streams using variography is discussed to help bridge sampling theory with statistical process control. Many descriptions of good sampling devices, as well as descriptions of poor ones, are featured to educate readers on what to look for when purchasing sampling systems.
The book uses its accessible, tutorial style to focus on professional selection and use of methods. The book will be a valuable guide for mineral processing engineers; metallurgists; geologists; miners; chemists; environmental scientists; and practitioners in chemical, cement, steel, power generation, high performance materials, recycling, cereal, and pharmaceutical industries.
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Definition of Bask Terms and Symbols
Fragmental Increment I to be Included in the Actual
to be Sampled
Notion of Sampling Integrity
Equivalent Set of Units with Only One Descriptor
Minimizing the Fundamental Error in Sampling
Peculiarities about the Sampling of Precious Metals
Solvable and Unsolvable Sampling Problems
analysis average calculate Chapter characterized chromite chronological series comminution CONCLUSION constituent of interest constitution heterogeneity continuous model continuous selection error conveyor belt correct sampling critical component critical content cutter definition delimitation error density density class descriptors discrete distribution heterogeneity distribution homogeneity drilling equal Equation estimate extended increment extraction error fraction fragment F fragmental increment function fundamental error FE gold grouping and segregation groups of fragments heterogeneity carried illustrated in Figure incorrect increment delimitation interval introduced lot L mineral moisture content molybdenite nomograph number of increments obtain one-dimensional lot particle particulate material Pierre Gy Poisson distribution practical preparation error random variable representing riffle splitter sampler sampling correctness sampling error sampling operation sampling process sampling protocol sampling selection sampling stage Section segregation error selection process standard deviation statistical population systematic systematic sampling term three-dimensional two-dimensional units variance variogram V(j zero-dimensional lot