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Design and analysis of experiments with R / John Lawson.

By: Material type: TextTextSeries: Chapman & Hall/CRC texts in statistical science seriesPublication details: Boca Raton : CRC Press, c2015.Description: xxiii, 596 p. : illustrations ; 25 cmISBN:
  • 9781439868133 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 000SA.2 23 L425
Contents:
1. Introduction-- 2. Completely randomized designs with one factor -- 3. Factorial designs -- 4. Randomized block designs -- 5. Designs to study variances -- 6. Fractional factorial designs -- 7. Incomplete and confounded block designs -- 8. Split-plot designs -- 9. Crossover and repeated measures designs -- 10. Response surface designs -- 11. Mixture experiments -- 12. Robust parameter design experiments -- 13. Experimental strategies for increasing knowledge-- Appendix-brief introduction to R-- Answers to selected exercises-- Bibliography-- Index.
Summary: This book 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. 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 web site, enabling you to duplicate all the designs and data analysis.
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Includes bibliographical references and index.

1. Introduction--
2. Completely randomized designs with one factor --
3. Factorial designs --
4. Randomized block designs --
5. Designs to study variances --
6. Fractional factorial designs --
7. Incomplete and confounded block designs --
8. Split-plot designs --
9. Crossover and repeated measures designs --
10. Response surface designs --
11. Mixture experiments --
12. Robust parameter design experiments --
13. Experimental strategies for increasing knowledge--
Appendix-brief introduction to R--
Answers to selected exercises--
Bibliography--
Index.

This book 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. 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 web site, enabling you to duplicate all the designs and data analysis.

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