Statistical control for sampling of metallurgical material | Zendy

Gerber Hannah | Zendy; Sharp Gary D. | Zendy; Tessera Abebe | Zendy

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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.

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