Statistical control for sampling of metallurgical material

Hannah Gerber, Gary D. Sharp and Abebe Tessera

Applied Stochastic Models in Business and Industry, 2006, vol. 22, issue 5‐6, 483-493

Abstract: The study's aim was to assess the re‐sampling rate of metallurgical material in a precious metal refinery. Three different methods were evaluated; including the refinery's existing means comparison method, an empirical distribution technique and a non‐linear model. The objective was to assess these three methods to determine which would be the most appropriate for the existing sampling method in order to obtain a re‐sampling rate of 5%. Copyright © 2006 John Wiley & Sons, Ltd.

Date: 2006
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https://doi.org/10.1002/asmb.649

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:22:y:2006:i:5-6:p:483-493

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