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- 620 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Design and Analysis of Experiments with R
Book details
Table of contents
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About This Book
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,
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Yes, you can access Design and Analysis of Experiments with R by John Lawson in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- List of Examples
- 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
- AppendixâBrief Introduction to R
- Answers to Selected Exercises
- Bibliography
- Index