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Design and Analysis of Experiments with R (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition
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Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results.
Drawing on his many years of working in the pharmaceutical, agricultural, industrial chemicals, and machinery industries, the author teaches students how to:
- Make an appropriate design choice based on the objectives of a research project
- Create a design and perform an experiment
- Interpret the results of computer data analysis
The book emphasizes the connection among the experimental units, the way treatments are randomized to experimental units, and the proper error term for data analysis. R code is used to create and analyze all the example experiments. The code examples from the text are available for download on the author’s website, enabling students to duplicate all the designs and data analysis.
Intended for a one-semester or two-quarter course on experimental design, this text covers classical ideas in experimental design as well as the latest research topics. It gives students practical guidance on using R to analyze experimental data.
- ISBN-10 9781439868133
- ISBN-13 978-1439868133
- Edition 1st
- Publisher Chapman and Hall/CRC
- Publication date December 17, 2014
- Part of series Chapman & Hall/CRC Texts in Statistical Science
- Language English
- Dimensions 6.75 x 1.25 x 9.75 inches
- Print length 628 pages
- See all details
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Editorial Reviews
"This is an excellent but demanding text. … This book should be mandatory reading for anyone teaching a course in the statistical design of experiments. … reading this text is likely to influence their course for the better." ― MAA Reviews , March 2015
"Thank you for writing your phenomenal book "Design and Analysis of Experiments with R". I'm teaching a new course this spring on experimental design and reinforcement learning. The students are graduate bioengineers, so I was having difficulty finding a text that blends theory, practice, and computation. Your book excels at all three. The first chapter I read clarified several topics and improved both my teaching and research. After testing a dozen DOE and RSM books, yours is the clear winner. I understand the enormous time that goes into a well-constructed textbook. I hope this message conveys my deep appreciation for your effort." ― Paul Jensen , Ph.D., Assistant Professor , Department of Bioengineering and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign
"In my opinion, this is a very valuable book. It covers the topics that I judge should be in such a book including what might be called the standard designs and more … it has become my go to text on experimental design."
David E. Booth, Technometrics
About the Author
John Lawson is a professor in the Department of Statistics at Brigham Young University.
Product details
- ASIN : 1439868131
- Publisher : Chapman and Hall/CRC; 1st edition (December 17, 2014)
- Language : English
- Hardcover : 628 pages
- ISBN-10 : 9781439868133
- ISBN-13 : 978-1439868133
- Item Weight : 2.25 pounds
- Dimensions : 6.75 x 1.25 x 9.75 inches
- #104 in Statistics (Books)
- #402 in Probability & Statistics (Books)
About the author
John lawson.
John Lawson is a Professor Emeritus from the Statistics Department at Brigham Young University where he taught from 1986 to 2019. He is an ASQ-CQE and he has a Masters Degree in Statistics from Rutgers University and a PhD in Applied Statistics from the Polytechnic Institute of N.Y. He worked as a statistician for Johnson & Johnson Corporation from 1971 to 1976, and he worked at FMC Corporation Chemical Division from 1976 to 1986 where he was the Manager of Statistical Services. In industry he used designed experiments and statistical analysis to help engineers and chemists on product development and manufacturing process improvements. At BYU he taught courses on experimental design and quality control and consults with faculty and graduate students involved in research projects through the BYU Center for Statistical Consultation and Collaborative Research. He is the the co-author (with John Erjavec) of Basic Experimental Strategies and Data Analysis for Science and Engineering, CRC Press, the author of Design and Analysis of Experiments with R, CRC Press, and the author of An Introduction to Acceptance Sampling and SPC with R, CRC Press. Additional resources for these books, such as electronic versions of computer code in the books, lecture slides, etc. can be downloaded from: https://lawsonjsl7.netlify.app/webbook/. Additional resources for an earlier book Design and Analysis of Experiments with SAS, CRC Press can be downloaded from: https://sasbook.netlify.com
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