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THE USE OF STATISTICS IN MINERAL PROCESS ENGINEERING

Kindle Edition or EPUB + Converted PDF نویسندگان: Tony Escorcio
جزئیات
فرمت: Kindle Edition or EPUB + Converted PDF تاریخ انتشار نسخه الکترونیکی : June 10, 2026
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لینک: https://www.amazon.com/dp/B0H4RV6S6P
توضیحات
The Use of Statistics in Mineral Process Engineering is a practitioner's handbook for the metallurgist, process engineer, and specialist who must draw firm conclusions from imperfect data. It is not a general statistics text with a few mineral examples bolted on. Every method is introduced through the problems of the plant and the laboratory — head grades, sampling, fire assay, flotation recovery, reagent trials, mass balances, and metallurgical accounting — and every worked example carries real numbers from first principle to final answer.Inside, you will find:Why precious-metal grades are lognormal, not normal — and what that changesPierre Gy's theory of sampling, the nugget effect, and how to design a protocol that holds error in checkMeasurement, assaying, and QA/QC: precision versus bias, reference materials, and laboratory control chartsEstimation and confidence: how many samples you actually need, and what a result is truly worthHypothesis testing for metallurgists, including the autocorrelation trap that silently invalidates routine plant trialsAnalysis of variance and the design of experiments — factorial and response-surface methods that retire wasteful one-factor-at-a-time testingRegression, curve fitting, and multivariate methods for modern sensor-rich plantsMass balancing, data reconciliation, error propagation, and statistical process controlThroughout, common mistakes are flagged where they are actually made, and a single theme runs from the first page to the last: that statistics is not a machine for manufacturing certainty out of doubtful data, but a discipline of honesty about uncertainty.Whether you are commissioning a circuit, defending a metallurgical account, running a testwork programme, or training for a career in mineral processing, this handbook gives you the means to act on evidence rather than impression — and to know, always, the difference between the two.
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