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Statistical control for sampling of metallurgical material
Author(s) -
Gerber Hannah,
Sharp Gary D.,
Tessera Abebe
Publication year - 2006
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.649
Subject(s) - refinery , sampling (signal processing) , statistics , environmental science , computer science , econometrics , metallurgy , mathematics , materials science , environmental engineering , filter (signal processing) , computer vision
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.