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Pierre Gy's Sampling Theory and Sampling Practice. Heterogeneity, Sampling Correctness, and Statistical Process Control
 
 
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Pierre Gy's Sampling Theory and Sampling Practice. Heterogeneity, Sampling Correctness, and Statistical Process Control [Hardcover]

Francis F. Pitard (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

August 3, 1993 0849389178 978-0849389177 2
Pierre Gy's Sampling Theory and Sampling Practice, Second Edition is a concise, step-by-step guide for process variability management and methods. Updated and expanded, this new edition provides a comprehensive study of heterogeneity, covering the basic principles of sampling theory and its various applications. It presents many practical examples to allow readers to select appropriate sampling protocols and assess the validity of sampling protocols from others. The variability of dynamic process streams using variography is discussed to help bridge sampling theory with statistical process control. Many descriptions of good sampling devices, as well as descriptions of poor ones, are featured to educate readers on what to look for when purchasing sampling systems.
The book uses its accessible, tutorial style to focus on professional selection and use of methods. The book will be a valuable guide for mineral processing engineers; metallurgists; geologists; miners; chemists; environmental scientists; and practitioners in chemical, cement, steel, power generation, high performance materials, recycling, cereal, and pharmaceutical industries.

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Product Details

  • Hardcover: 488 pages
  • Publisher: CRC Press; 2 edition (August 3, 1993)
  • Language: English
  • ISBN-10: 0849389178
  • ISBN-13: 978-0849389177
  • Product Dimensions: 9.9 x 6.9 x 1.3 inches
  • Shipping Weight: 2.3 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,626,323 in Books (See Top 100 in Books)

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5.0 out of 5 stars Great for quality control, November 16, 2011
This review is from: Pierre Gy's Sampling Theory and Sampling Practice. Heterogeneity, Sampling Correctness, and Statistical Process Control (Hardcover)
This was relied upon during my undergrad years and a must have in industry. Particularly important for someone in design and analytical, or quality control. It also shows you how to sample, how to present your data, all the good stuff. I also should mention if you are designing equipment and delivery systems at the mass scale, it is important to use some of the parameters described in here. It describes numerous problems that are at times faced when going to industrial automation equipment design.
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5.0 out of 5 stars Pierre Gy's Sampling Theory, November 3, 2007
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This review is from: Pierre Gy's Sampling Theory and Sampling Practice. Heterogeneity, Sampling Correctness, and Statistical Process Control (Hardcover)
It's very important to know the sampling theory. With this book i can understand more and use the concepts in sampling research to improve our sampling system.
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Inside This Book (learn more)
First Sentence:
Since the development of the theory exposed in this book is relatively new and unique, we are attempting to bring order to a field where numerous authors often brought their own definitions, right or wrong, to many fundamental terms. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
constitution heterogeneity, extraction correctness, increment delimitation, variographic experiment, sampling correctness, isotropic module, trailing reject, unknown critical content, sectorial splitters, liberated gold particles, primary sampling stage, sampling equity, rebounding rule, hypothetical average number, delimitation error, circumstantial property, largest gold particles, materialization error, primary structural property, des matieres morcelees, bed blending, absolute variogram, wet tonnage, residual adsorbed water, shoveling method
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Pierre Gy, Loss Generated, Properties of the Variance
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