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Introduction to the theory and practice of sampling / Kim H. Esbensen.

By: Material type: TextTextPublisher: Chichester, West Sussex, UK : IM Publications Open, [2020]Copyright date: ©2020Description: xiv, 323 pages : illustrations (chiefly colour) ; 25 cmISBN:
  • 9781906715298
  • 1906715297
Subject(s): DDC classification:
  • 543.0028 EBE
LOC classification:
  • QA276.6 .E83 2020
Contents:
1.Theory of sampling (TOS) - the missing link before analysis 2.Theory of sampling (TOS) - fundamental definitions and concepts 3.Heterogeneity - the root of all evils (part 1) 4.Heterogeneity - the root of all evils (part 2) 5."Sampling - is not gambling" 6.Pierre Gy's key concept of sampling errors 7.Composite sampling 1: the fundamental sampling principle 8.Composite sampling II: lot dimensionality transformation 9.Sampling quality assessment: the replication experiment 10.Sampling quality criteria 11.There are standards - and there is the standard 12.Spear sampling: a bane at all scales 13.Into the laboratory: the TOS still reigns supreme 14.Representative mass reduction in the laboratory: riffle splitting galore 15.Introduction to process sampling 16.Process sampling: the importance of correct increment extraction 17.The variographic experiment 18.Experimental validation of a primary sampling system for iron ore pellets 19.Industrial variographic analysis for continuous sampling system validation 20.Theory of sampling (TOS): pro et contra 21.Following the TOS will save you a lot of money (pun intended) 22.A tale of two laboratoires I: the challenge 23.A tale of two laboratories II: resolution 24.Sampling commitment - and what it takes 25.Representative sampling and society 26.Epilogue: what's next?
Subject: "“Sampling is not gambling”. Analytical results forming the basis for decision making in science, technology, industry and society must be relevant, valid and reliable. However, analytical results cannot be detached from the specific conditions under which they originated. Sampling comes to the fore as a critical success factor before analysis, which should only be made on documented representative samples. There is a very long and complex pathway from heterogeneous materials in “lots” such as satchels, bags, drums, vessels, truck loads, railroad cars, shiploads, stockpiles (in the kg–ton range) to the miniscule laboratory aliquot (in the g–µg range), which is what is actually analysed. Exactly how to acquire a documented, representative analytical result across mass-reduction of up to six orders of magnitude of heterogeneous materials is far from a simple materials handling issue. There are specific principles and rules behind representativity. The TOS to the fore!"--Provided by publisher.Subject: "This book presents the Theory and Practice of Sampling (TOS) starting from level zero in a novel didactic framework without excessive mathematics and statistics. It represents 20 years of teaching experience which has developed into a unique conceptual framework with which the TOS' six principles and four unit operations can be understood in a unifying manner, enabling the reader to start sampling in a correct fashion right away. The book covers sampling from stationary lots, from moving, dynamic lots (process sampling) and has a vital focus on sampling in the analytical laboratory. It contains a wealth of complementing cases, examples and references (most of which are accessible on-line) meant to inspire and motivate the reader to individual skills-building and further self-study."--Back cover.
Holdings
Item type Current library Call number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 543.0028 BAI (Browse shelf(Opens below)) Available 224899

"With contributions from Claas Wagner, Pentti Minkkinen, Claudia Paoletti, Karin Engström, Martin Lischka and Jørgen Rils Pedersen".

Includes advertising.

1.Theory of sampling (TOS) - the missing link before analysis 2.Theory of sampling (TOS) - fundamental definitions and concepts 3.Heterogeneity - the root of all evils (part 1) 4.Heterogeneity - the root of all evils (part 2) 5."Sampling - is not gambling" 6.Pierre Gy's key concept of sampling errors 7.Composite sampling 1: the fundamental sampling principle 8.Composite sampling II: lot dimensionality transformation 9.Sampling quality assessment: the replication experiment 10.Sampling quality criteria 11.There are standards - and there is the standard 12.Spear sampling: a bane at all scales 13.Into the laboratory: the TOS still reigns supreme 14.Representative mass reduction in the laboratory: riffle splitting galore 15.Introduction to process sampling 16.Process sampling: the importance of correct increment extraction 17.The variographic experiment 18.Experimental validation of a primary sampling system for iron ore pellets 19.Industrial variographic analysis for continuous sampling system validation 20.Theory of sampling (TOS): pro et contra 21.Following the TOS will save you a lot of money (pun intended) 22.A tale of two laboratoires I: the challenge 23.A tale of two laboratories II: resolution 24.Sampling commitment - and what it takes 25.Representative sampling and society 26.Epilogue: what's next?

"“Sampling is not gambling”. Analytical results forming the basis for decision making in science, technology, industry and society must be relevant, valid and reliable. However, analytical results cannot be detached from the specific conditions under which they originated. Sampling comes to the fore as a critical success factor before analysis, which should only be made on documented representative samples. There is a very long and complex pathway from heterogeneous materials in “lots” such as satchels, bags, drums, vessels, truck loads, railroad cars, shiploads, stockpiles (in the kg–ton range) to the miniscule laboratory aliquot (in the g–µg range), which is what is actually analysed. Exactly how to acquire a documented, representative analytical result across mass-reduction of up to six orders of magnitude of heterogeneous materials is far from a simple materials handling issue. There are specific principles and rules behind representativity. The TOS to the fore!"--Provided by publisher.

"This book presents the Theory and Practice of Sampling (TOS) starting from level zero in a novel didactic framework without excessive mathematics and statistics. It represents 20 years of teaching experience which has developed into a unique conceptual framework with which the TOS' six principles and four unit operations can be understood in a unifying manner, enabling the reader to start sampling in a correct fashion right away. The book covers sampling from stationary lots, from moving, dynamic lots (process sampling) and has a vital focus on sampling in the analytical laboratory. It contains a wealth of complementing cases, examples and references (most of which are accessible on-line) meant to inspire and motivate the reader to individual skills-building and further self-study."--Back cover.

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