•Fundamental statistical concepts used in sampling theory and sampling practices
•Introduction to the Theory of Sampling Afternoon
•A complete review of the In SituNugget Effect
•First exposure to Poisson processes
•Review of Gys preventative approaches
DAY 2
Morning
•Review of Vismans work in sampling
•Review of Ingamells work in sampling
•Introduction to single Poisson processes
•Applications to sampling for trace constituents
Afternoon
•Introduction to double Poisson processes
•Applications to sampling for trace constituents
•A logical conclusion: integrating Gy, Visman and Ingamells work in the TOS
•Conclusion: Gys preventative approaches are inevitable
WHAT YOU WILL LEARN:
• The nine kinds of sampling errors, how they take place, and how to minimize them; most people can list only two!
• Sampling correctness, so you can reject sampling systems that will never perform a satisfactory job.
• Become familiar with necessary tests to be performed at mines and plants to optimize all your sampling protocols.
• To select appropriate Data Quality Objectives for operating parameters, which are worth continuous monitoring, to minimize your operating cost.
• To better appreciate the value of existing chronological data that allows you to better control any process. This data is valuable for management in identifying structural problems that lead to unnecessary financial losses.
• Variography is the key to identify the various sources of variability affecting routine chronological data. You will discover the power of Chronostatistics.
• Using existing data, variability from sampling and measurement must be clearly separated from process trends and cycles. Unless this is well done, continuous process improvement will remain elusive.
• The careful use of the Moving Average and especially its auxiliary functions can greatly help you to minimize the effect of poor sampling and measurement precision.
• The Relative Difference Plots can show, in an unambiguous way, the presence of conditional biases from sampling and from laboratories.
• Realize the weakness of todays standards on sampling: They are obsolete and not in line with the Sampling Theory.
• Get updated on sampling developments exposed during the first World Conference on Sampling and Blending (Denmark, 2003) and the second WCSB (Australia, 2005.)
WHO SHOULD ATTEND:
This course is designed for individuals responsible for optimizing the performance of mines, metallurgical plants, chemical plants,
and environmental assessments. The course also applies to many other areas where someone must collect samples to make important decisions. The course is highly recomended for managers to optimize their options. You should attend this course if youare:
• Exploration and ore grade control geologists
• Presidents, Vice Presidents, and operating managers
• Geostatisticians and laboratory supervisors
• Miners, metallurgists and chemists
• Quality Assurance and Quality Control managers
• Environmental engineers and pollution control specialists
Poisson Processes in Sampling
WORKSHOP
POISSON PROCESSES IN SAMPLING
THEORY, PRACTICE, ECONOMIC IMPACT
Taught by Francis Pitard Sampling Consultants
WORKSHOP PROGRAMME:
DAY 1
Morning
•Fundamental statistical concepts used in sampling theory and sampling practices
•Introduction to the Theory of Sampling Afternoon
•A complete review of the In SituNugget Effect
•First exposure to Poisson processes
•Review of Gys preventative approaches
DAY 2
Morning
•Review of Vismans work in sampling
•Review of Ingamells work in sampling
•Introduction to single Poisson processes
•Applications to sampling for trace constituents
Afternoon
•Introduction to double Poisson processes
•Applications to sampling for trace constituents
•A logical conclusion: integrating Gy, Visman and Ingamells work in the TOS
•Conclusion: Gys preventative approaches are inevitable
WHAT YOU WILL LEARN:
• The nine kinds of sampling errors, how they take place, and how to minimize them; most people can list only two!
• Sampling correctness, so you can reject sampling systems that will never perform a satisfactory job.
• Become familiar with necessary tests to be performed at mines and plants to optimize all your sampling protocols.
• To select appropriate Data Quality Objectives for operating parameters, which are worth continuous monitoring, to minimize your operating cost.
• To better appreciate the value of existing chronological data that allows you to better control any process. This data is valuable for management in identifying structural problems that lead to unnecessary financial losses.
• Variography is the key to identify the various sources of variability affecting routine chronological data. You will discover the power of Chronostatistics.
• Using existing data, variability from sampling and measurement must be clearly separated from process trends and cycles. Unless this is well done, continuous process improvement will remain elusive.
• The careful use of the Moving Average and especially its auxiliary functions can greatly help you to minimize the effect of poor sampling and measurement precision.
• The Relative Difference Plots can show, in an unambiguous way, the presence of conditional biases from sampling and from laboratories.
• Realize the weakness of todays standards on sampling: They are obsolete and not in line with the Sampling Theory.
• Get updated on sampling developments exposed during the first World Conference on Sampling and Blending (Denmark, 2003) and the second WCSB (Australia, 2005.)
WHO SHOULD ATTEND:
This course is designed for individuals responsible for optimizing the performance of mines, metallurgical plants, chemical plants,
and environmental assessments. The course also applies to many other areas where someone must collect samples to make important decisions. The course is highly recomended for managers to optimize their options. You should attend this course if youare:
• Exploration and ore grade control geologists
• Presidents, Vice Presidents, and operating managers
• Geostatisticians and laboratory supervisors
• Miners, metallurgists and chemists
• Quality Assurance and Quality Control managers
• Environmental engineers and pollution control specialists
• Concerned investors and company shareholders.
FOR ANY FURTHER INFORMATION CONTACT:
Raymond van der Berg
Conference Co-ordinator
Sampling Workshop
SAIMM, P.O. Box 61127, Marshalltown 2107,
South Africa
Tel: 27 (11) 834-1273/7
Facsimile 27 (11) 838-5923 or
E-mail:
href="mailto:raymond@saimm.co.za">raymond@saimm.co.za
To be held on 19 and 20 October 2009—immediately prior to the WCSB4 Conference
Additional information:
href="http://www.google.com/search?hl=de&client=safari&rls=de-de&q=WCSB4+site%3Abulk-online.com&btnG=Suche&lr=" target="blank">http://www.google.com/search?hl=de&c...btnG=Suche&lr=
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