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Introduction to Design of Experiments with JMP Examples, Third Edition (SAS Press)
 
 
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Introduction to Design of Experiments with JMP Examples, Third Edition (SAS Press) [Perfect Paperback]

Jacques Goupy (Author), Lee Creighton (Contributor)

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Book Description

November 9, 2007 1599944227 978-1599944227 3
Illustrated with numerous real-world examples borrowed from a broad base of industries, Introduction to Designed Experiments with JMP Examples, Third Edition, employs a gentle, progressive approach to using designed experiments. The book covers basic ideas, terminology, and the application of techniques necessary to conduct a study using the design of experiments (DOE) framework. This edition addresses a wide array of designs, such as these:

  • full-factorial designs
  • fractional-factorial designs
  • response surface designs, including composite, Box-Behnken, and Doehlert designs
  • mixture designs
  • optimal designs
  • discrete-variable designs

The text is written for researchers and engineers who want to create well-organized experiments and obtain results that will yield the best possible information and insights. JMP software is integrated throughout the text and examples of the book, allowing you to solve problems efficiently, make decisions, and gain experience using JMP software. This title was previously published by Dunod under EAN 9782100056064.


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Introduction to Design of Experiments with JMP Examples, Third Edition (SAS Press) + JMP Essentials: An Illustrated Step-by-Step Guide for New Users + JMP Start Statistics: A Guide to Statistics and Data Analysis Using Jmp, Fourth Edition (SAS Press)
Price For All Three: $142.92

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Editorial Reviews

Review

"For anyone wanting to learn about design of experiments, this book has it all. This book combines easy-to-read concepts and methods of design of experiments (DOE) with everyday examples and pictures. Anyone with even a cursory understanding of DOE can pick up this book and gain a very high-level understanding of DOE. The bottom line: This is far and away the best book I have seen dealing with design of experiments." --James Baker, Quality Engineer, Eastman Kodak<br /><br />"JMP has exceptional tools for the design of experiments (DOE), and, what is more, these tools are well integrated with the overall capacities of a remarkably intuitive and flexible package of statistical exploration and visualization tools. Goupy and Creighton offer us a solid and practical beginner's guide to DOE, oriented to the special capacities of JMP. The book reads fairly easily, conveys the excitement and elegance of the design of optimal experiments, and will leave the reader with a good intuitive and practical introduction to some of the central problematics and approaches in applied DOE work." --Yaakov Jerome Garb, Lecturer, Ben Gurion University, Visiting Assistant Professor, Brown University

"JMP has exceptional tools for the design of experiments (DOE), and, what is more, these tools are well integrated with the overall capacities of a remarkably intuitive and flexible package of statistical exploration and visualization tools. Goupy and Creighton offer us a solid and practical beginner's guide to DOE, oriented to the special capacities of JMP. The book reads fairly easily, conveys the excitement and elegance of the design of optimal experiments, and will leave the reader with a good intuitive and practical introduction to some of the central problematics and approaches in applied DOE work." --Yaakov Jerome Garb, Lecturer, Ben Gurion University, Visiting Assistant Professor, Brown University

About the Author

Jacques Goupy Jacques Goupy, Docteur ès sciences, is a consulting engineer for ReConFor and teaches experimental design both in industry and in schools of engineering throughout France and Europe. He is the author of countless articles and books on the subject of experimental design, including Pratiquer les plans d'expériences, Plans d'expériences pour surfaces de réponse, and Plans d'expériences: les mélanges. Dr. Goupy is founder and past-president of the Groupe Français de Chimiométrie and currently serves on the editorial board of the international scientific review Chemometrics and Intelligent Laboratory Systems. Lee Creighton Lee Creighton, Ph.D., is the documentation manager for the JMP Division at SAS Institute. Prior to working at SAS, Dr. Creighton taught high school and collegiate mathematics. He is the co-author of several books on statistical methods, including JMP Start Statistics and Regression Using JMP. He received his undergraduate and graduate degrees from North Carolina State University. He is currently interested in methods of teaching statistics, user interface design, and issues in localization.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
response surface designs, prediction profiler, mixture designs, pharmaceutical tablets, surface profiler, layer weight ratio, oil separation pressure, alloy cobalt content, oil extraction pressure, thread elongation, coordinate exchange algorithm, additional weight factor, tellurium concentration, upper half design, coded units, desirability function, aliasing structure, winding distance, deposition speed, tellurium content, mileage decreases, excitation slit, gold concentration, mixture constraint, cobalt concentration
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Design of Experiments, Examples Table, Examples Figure, Preparing the Designed Experiment, Examples of Fractional Factorial Designs, Interpreting the Results, The Concept of Optimal Designs, Study Conclusion, Four-Factor Full-Factorial Experiments, Three-Factor Designed Experiment, Running the Experiment, Design Experiments, Ratio Prob, Gaining Knowledge, Fit Model, Effect Value Intercept, Ratio Model, Select Columns, Choosing the Design, Scaled Estimates Continuous, Custom Design, Run Model, Analysis of Variance, Root Mean Square Error, Methodology of Designs
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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