Author: Francis F. Pitard
Publisher:
ISBN:
Category : Ores
Languages : en
Pages : 0

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Book Description

Author: Francis F. Pitard
Publisher: CRC Press
ISBN: 9780849389177
Category : Mathematics
Languages : en
Pages : 524

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Book Description
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.

Author: Pierre Gy
Publisher: John Wiley & Sons
ISBN: 9780471979562
Category : Science
Languages : en
Pages : 180

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Book Description
Dr Gy, a pioneer in every sense of the word, has spent 50 years studying the best way to take a truly representative sample. His greatest achievement perhaps has been to introduce science into the black art of sampling. The now famous and widely used formula bearing his name means that sampling is no longer a lottery but an essential analytical tool. This very readable and practical book, written by Pierre Gy himself, is the first simple guide to Pierre Gy s method to be translated into English. Although Dr Gy s formula was originally developed for the sampling of solid material in mines, etc., the theoretical arguments are equally valid for the sampling of liquids and multi-phase media. This book is as interesting as a historical perspective as it is useful for the practising modern day analyst.

Author: Francis F. Pitard
Publisher: CRC Press
ISBN: 1351105922
Category : Business & Economics
Languages : en
Pages : 694

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Book Description
A step-by-step guide for anyone challenged by the many subtleties of sampling particulate materials. The only comprehensive document merging the famous works of P. Gy, I. Visman, and C.O. Ingamells into a single theory in a logical way - the most advanced book on sampling that can be used by all sampling practitioners around the world.

Author: Patricia L. Smith
Publisher: SIAM
ISBN: 0898714737
Category : Mathematics
Languages : en
Pages : 113

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Book Description
The ideas of Pierre Gy presented in lay terms, allowing concepts and principles to be easily grasped and applied.

Author: Francis F. Pitard
Publisher: CRC-Press
ISBN: 9780849366581
Category : Science
Languages : en
Pages : 214

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Book Description

Author: Francis F. Pitard
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description

Author: Francis F. Pitard
Publisher: Chapman & Hall/CRC
ISBN: 9781351105934
Category : Business & Economics
Languages : en
Pages : 694

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Book Description
A step-by-step guide for anyone challenged by the many subtleties of sampling particulate materials. The only comprehensive document merging the famous works of P. Gy, I. Visman, and C.O. Ingamells into a single theory in a logical way - the most advanced book on sampling that can be used by all sampling practitioners around the world.

Author: Yves Tille
Publisher: John Wiley & Sons
ISBN: 0470682051
Category : Mathematics
Languages : en
Pages : 447

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Book Description
A much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions. Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of sampling Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks Reviews the problems of application of the theory into practice Also deals with the treatment of non sampling errors Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.

Author: Pascal Ardilly
Publisher: Springer Science & Business Media
ISBN: 0387310754
Category : Social Science
Languages : en
Pages : 382

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Book Description
Whenweagreedtoshareallofourpreparationofexercisesinsamplingtheory to create a book, we were not aware of the scope of the work. It was indeed necessary to compose the information, type out the compilations, standardise the notations and correct the drafts. It is fortunate that we have not yet measured the importance of this project, for this work probably would never have been attempted! In making available this collection of exercises, we hope to promote the teaching of sampling theory for which we wanted to emphasise its diversity. The exercises are at times purely theoretical while others are originally from real problems, enabling us to approach the sensitive matter of passing from theory to practice that so enriches survey statistics. The exercises that we present were used as educational material at the École Nationale de la Statistique et de l’Analyse de l’Information (ENSAI), where we had successively taught sampling theory. We are not the authors of all the exercises. In fact, some of them are due to Jean-Claude Deville and Laurent Wilms. We thank them for allowing us to reproduce their exercises. It is also possible that certain exercises had been initially conceived by an author that we have not identi?ed. Beyondthe contribution of our colleagues, and in all cases, we do not consider ourselves to be the lone authors of these exercises:they actually form part of a common heritagefrom ENSAI that has been enriched and improved due to questions from students and the work of all the demonstrators of the sampling course at ENSAI.