John Lawson

Design and Analysis of Experiments with R (eBook, PDF)

• Format: PDF

Produktbeschreibung

This text 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. R code is used to create and analyze all the example experiments, with the code examples available on the author's website.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 620
• Erscheinungstermin: 17. Dezember 2014
• Englisch
• ISBN-13: 9781498728485
• Artikelnr.: 57081716

Autorenporträt

John Lawson is a professor in the Department of Statistics at Brigham Young University.

Inhaltsangabe

Introduction. Completely Randomized Designs with One Factor. Factorial Designs. Randomized Block Designs. Designs to Study Variances. Fractional Factorial Designs. Incomplete and Confounded Block Designs. Split-Plot Designs. Crossover and Repeated Measures Designs. Response Surface Designs. Mixture Experiments. Robust Parameter Design Experiments. Experimental Strategies for Increasing Knowledge. Bibliography. Index.

Rezensionen

"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