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A Primer for Sampling Solids, Liquids, and Gases: By Patricia L. Smith, Ph.D. Statisticians are highly trained in sampling techniques if the sample is well defined. Examples of such samples include industrial parts in manufacturing, invoices in business processes, and people in surveys. However, suppose the sampling unit isn’t well defined? Suppose you are sampling bulk material such as a pile of coal? This book illustrates what to look for in sampling devices and procedures to obtain correct samples from bulk materials. It gives sampling guidelines that can be applied immediately and shows how to analyze protocols to uncover sampling problems. It is based on the sampling principles developed by Pierre Gy. The book has two audiences. First, it is written for the sampling practitioner. The ideas are presented in lay terms so that the concepts and principles can be easily grasped and applied. The intuitive meaning is conveyed while preserving the original ideas. Synonyms are used for some technical terms to avoid confusion. Second, it is valuable to the theoretician. It serves as an overview and introduction to Gy’s theory from which a more detailed study can be launched. University students in graduate courses in sampling, as well as consultants in statistics, environmental science, and industrial or chemical engineering, will find this book valuable. Dr. Margaret Nemeth, Monsanto Company, recommends Smith's book in Technometrics (May 2002 issue): "I found it to be an excellent introduction not only to Gy's theory but also to a logical approach to sampling bulk products. I wish I had known about Gy's theory when I was asked several years ago to develop a sampling plan for tank cars containing a liquid chemical. I highly recommend this book, not only to statisticians, but to anyone involved in the sampling of bulk materials." Click here for more information on Bulk Sampling. "Your decisions are
only as good as your samples."
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