Sampling for Analytical Purposes / Edition 1

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Overview

Sampling (the removal of a small amount of material from a larger volume to test it for a desired characteristic) is important to industry in order to monitor the progress of a reaction or the quality (purity) of a product. To ensure that the sample is representative of the larger volume, certain procedures need to be followed in removing the sample and statistical interpretation of the data. An example of sampling would be determining the purity of a train boxcar load of fine clay by several small samples representative of the bulk. Pierre Gy is one of the leading sampling experts in the world and Sampling for Analytical Purposes is an abridged version of his previous French works. The title is a simple guide to sampling method for practicing analysts who do not want to search through larger and more complex titles. This title responds to a shortage of books on large scale process chemistry.
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Editorial Reviews

From the Publisher

“This text is strongly recommended to those who oversee or are involved in sample quality control in moving stream industrial settings. This text will also find utility for students studying sampling methods in advanced analytical chemistry courses.” (J. Am. Chem. Soc., 1999)

Booknews
English edition of the much-abridged version of published by Elsevier, Amsterdam, 1992 (reference [7]). Thirteen chapters discuss the qualitative approach (achieving accuracy in sampling) and the quantitative approach (taking reproducible samples from a population of non-ordered objects, ensuring the reproducibility of samples taken from a series of chronologically ordered objects, and other applications of sampling theory). Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780471979562
  • Publisher: Wiley
  • Publication date: 7/7/1998
  • Edition description: ABR
  • Edition number: 1
  • Pages: 172
  • Sales rank: 831,708
  • Product dimensions: 6.10 (w) x 9.10 (h) x 0.70 (d)

Table of Contents

Preface to French Edition
Preface to English Edition
Acknowledgements
General Plan of this Book
1 Introduction 1
Pt. I The Qualitative Approach: Achieving Accuracy in Sampling
2 How Can the Mass of a Lot L be Reduced? 17
3 Heterogeneity and Sampling 23
4 Sampling Definitions 27
5 Objects in Three, Two, One or Zero Dimension(s) 39
6 The Practical Sampling of Moving Streams of Material 43
7 Conclusions on the Qualitative Approach 57
Pt. II The Quantitative Approach: Taking Reproducible Samples from a Population of Non-Ordered Objects
8 The Heterogeneity of a Population 63
9 Sampling: The Zero-dimensional Model: The Fundamental Error FE 69
10 Sampling: The Zero-dimensional Model: The Segregation and Grouping Error SGE 75
Pt. III The Quantitative Approach: Ensuring the Reproducibility of Samples Taken from a Series of Chronologically Ordered Objects
11 Heterogeneity: The One-dimensional Model 85
12 Sampling: The One-dimensional Model 101
Pt. IV The Quantitative Approach: Other Applications of Sampling Theory
13 Measurement of Mass by Proportional Sampling 117
App. 1 Brief Resume of Classical Statistics (Non-weighted) 133
App. 2 Three Branches of Statistics 141
App. 3 Integral Calculus Nomenclature 145
References 147
Index 149
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