Design Experiments (Over 4,300 results)

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Language: English
Published by Createspace Independent Publishing Platform, 2014
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Paperback. Condition: Very Good. This short handbook is a practical and accessible guide to the statistical design and analysis of 2-level, multi-factor experiments of the kind widely used in industry and business. Written for technologists and researchers, it forgoes the usual heavy statistical overlay of typical texts on this subject by focusing on a limited catalog of standard designs that are useful for commonly encountered problems. These design choices are based on relatively recent developments in>design projectivity, and their analysis requires nothing more than simple plots of the data: neither special expertise nor complex software is needed. Numerous examples show how to carry out this program in practice. Even though the statistical content of the handbook has been deliberately limited, it nevertheless discusses several practical matters that are rarely included in more comprehensive treatments, but which are vital for experimental success. Among these are the realities of randomization versus split-plotting, the importance of identifying the experimental unit, and a discussion of replication that argues that it is generally not worth the effort. Readers with some prior statistical exposure -- and statisticians -- may also be surprised to find that p-values do not appear anywhere in the book, and that in fact the authors explicitly argue against their use. Those new to the ideas of Statistical Design of Experiments (DOE)-- or even those who have some familiarity but would like greater insight and simplicity -- should find this handbook an effective way to learn about and apply this powerful technology in their own work.…

Language: English
Published by Createspace Independent Publishing Platform, 2014
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Paperback. Condition: Good. This short handbook is a practical and accessible guide to the statistical design and analysis of 2-level, multi-factor experiments of the kind widely used in industry and business. Written for technologists and researchers, it forgoes the usual heavy statistical overlay of typical texts on this subject by focusing on a limited catalog of standard designs that are useful for commonly encountered problems. These design choices are based on relatively recent developments in>design projectivity, and their analysis requires nothing more than simple plots of the data: neither special expertise nor complex software is needed. Numerous examples show how to carry out this program in practice. Even though the statistical content of the handbook has been deliberately limited, it nevertheless discusses several practical matters that are rarely included in more comprehensive treatments, but which are vital for experimental success. Among these are the realities of randomization versus split-plotting, the importance of identifying the experimental unit, and a discussion of replication that argues that it is generally not worth the effort. Readers with some prior statistical exposure -- and statisticians -- may also be surprised to find that p-values do not appear anywhere in the book, and that in fact the authors explicitly argue against their use. Those new to the ideas of Statistical Design of Experiments (DOE)-- or even those who have some familiarity but would like greater insight and simplicity -- should find this handbook an effective way to learn about and apply this powerful technology in their own work.…

Language: English
Published by CreateSpace Independent Publishing Platform (edition 1), 2014
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Language: English
Published by John Wiley and Sons Ltd, 1986
Series: Book 86 of 358 - Wiley Series in Probability and Statistics
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Hardback. Condition: Very Good. This reference book on clinical experimentation focuses on principles that are especially useful in the design and analysis of studies on human subjects. It shows how to choose between modern and classical competing designs for a clinical study - such as crossover designs, multicenter studies, and repeated measure experiments - how to carry out each design and analyze the resulting data. The book provides many practical examples, end-of-chapter problems and references, and solutions to each problem. The mathematical bases are given for several design strategies as well as for their analysis. Also provided are tables of critical values, 200 random permutations of the first one hundred integers, and an appendix on programmable methods for determining sample sizes.…

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Paperback. Condition: Good. The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement. This book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies.…

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Language: English
Published by Wiley-Interscience, 1999
Series: Book 86 of 358 - Wiley Series in Probability and Statistics
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Language: English
Published by WILEY, 1999
Series: Book 86 of 358 - Wiley Series in Probability and Statistics
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Paperback. Condition: Good. First published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Coverage is limited to experimental comparisons of treatments, or in other words, clinical studies in which treatments are assigned to subjects at random.…

Language: English
Published by American Society for Quality Control,U.S., 1999
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Language: English
Published by American Society for Quality Control,U.S., 1999
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Language: English
Published by Createspace Independent Publishing Platform, 2014
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Language: English
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Language: English
Published by Wiley-Interscience (edition 1), 1999
Series: Book 86 of 358 - Wiley Series in Probability and Statistics
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